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Pipeline run

db505c41-74e6-4a80-819f-6fcbbe0f9e64

Pipeline LLM cost (USD)
API 1: $0.0083 API 2: $0.0002 API 3: $0.0000 Total: $0.0086

Client output enrichment

v2 Skill cluster · Nature of work · AI index · Tech stack maturity · Evidence · KRA description
Nature of work · Data Platform / CloudOps
Own the data foundation platform roadmap, improving data workflows, automation, and service quality across cloud/data stacks while coordinating technical resources and stakeholders.
"Develop and implement strategic roadmaps for data foundation platforms."
Tech stack maturity
Modern Cloud Native
The stack centers on cloud platforms and modern data/DevOps tooling such as AWS, Azure, Docker, EKS, Terraform, GitHub Actions, dbt, Snowflake, and analytics observability, which is characteristic of a modern cloud-native environment.
AI index (0 = no AI use, 5 = totally AI-dependent · v2.1)
0.20 / 5
· Title match
Has AI skill
· AI skill (primary)
· AI skill (secondary)
· On AI team
· Builds AI products
vocab breakdown (legacy)
Assistants (×1):
Frameworks (×2):
Models / concepts (×3): AI
Evidence — skills matched in JD (19)
AWS Azure Google Cloud Python Terraform GitHub Actions Linux Agile Snowflake Docker Jira Node.js EKS AWS Amplify Artifactory SonarQube dbt Collibra Monte Carlo
Skill cluster (7 dimension groups, role-scoped)
Cloud Provider Platforms
AWS Azure
Cloud Hosting and Deployment Platforms for Web Applications
AWS Amplify
Containerization and Image Builds
Docker
Infrastructure as Code
Terraform
JavaScript and TypeScript
Node.js
Python Programming
Python
Cross-cutting / unaligned
Google Cloud GitHub Actions Linux Agile Snowflake Jira EKS Artifactory SonarQube dbt Collibra Monte Carlo
Show KRA description ↓
• Develop and implement strategic roadmaps for data foundation platforms. • Assess and improve current systems and apply technology to enhance data workflows. • Design and optimize data services and manage technology stacks. • Ensure automation and handle funding proposals. • Drive innovation and collaborate with stakeholders. • Oversee quality assurance for data services. • Manage project technical resources and evaluate external technical staff. • Extensive experience managing data, analytics, and AI platforms. • Expertise in CloudOps, DevOps, DataOps, and infrastructure. • Strong knowledge of BI and data warehouse solutions, including Snowflake. • Proficient in AWS, Azure, Google Cloud, Python, Terraform, GitHub Actions, and Linux. • Effective communicator with Agile experience and strong stakeholder influence. Relevant technical degree; AWS experience with various services. • Skilled in GitHub Actions, Docker, Jira, NodeJS, EKS, AWS Amplify, Artifactory, and SonarQube. • Familiar with Lean design processes and Data Foundation technologies (e.g., Snowflake, dbt, Collibra, Monte Carlo). • Knowledge of pharmaceutical industry data requirements and compliance standards. • High project management skills, with a focus on delivering outcomes on time.

Signals

Skill data-engineer
0.32
Alias
KRA data-engineer
0.56

Post-classification

Centroidupdated · n=4
Alias collision log
New-role queue
New skills captured6
New KRA capturedyes

Captured for admin review

Google Cloud primary DataOps Engineer pending
Linux primary DataOps Engineer pending
Jira primary DataOps Engineer pending
Artifactory primary DataOps Engineer pending
SonarQube primary DataOps Engineer pending
Collibra primary DataOps Engineer pending
R&R fragment (sim 0.00) DataOps Engineer pending

• Develop and implement strategic roadmaps for data foundation platforms. • Assess and improve current systems and apply technology to enhance data workflows. • Design and optimize data services and m…

Status: completed Created: 2026-05-27T15:40:34.898149Z Updated: 2026-06-12T16:06:34.172446Z API 3 duration: 56625 ms
Flow Current 3-step pipeline

1 POST /skills/extract-from-jd

2 POST /skills/extract-details

3 POST /skills/final-role-output

Role Chosen role & resolution

DataOps Engineer

domain · Data Engineering & Analytics CASE DOMAIN

slug: dataops-engineer · id: 145 · source: db

Domain=Data Engineering & Analytics; The JD centers on strategic data platform roadmaps, automation, data workflows, and CloudOps/DevOps/DataOps ownership, which most directly matches DataOps Engineer.

Matched skills

CloudOpsDevOpsDataOpsSnowflakeAWSAzureGoogle CloudPythonTerraformGitHub ActionsLinuxDockerJiraNodeJSEKSAWS AmplifyArtifactorySonarQubedbtCollibra

Matched dimensions

Data platform strategyData workflow automationCloud infrastructure operationsData service optimizationQuality assurance for data servicesStakeholder collaborationProject and resource managementData foundation platform governance

Matched KRAs

Develop and implement strategic roadmaps for data foundation platformsAssess and improve current systemsDesign and optimize data servicesManage technology stacksEnsure automationOversee quality assurance for data servicesManage project technical resourcesEvaluate external technical staffDrive innovation and collaborate with stakeholders

Resolution: in_db — role exists in library; skill↔dim and role↔dim links saved when applicable.

0
New skills
0
Skill↔dim saved
0
Role↔dim saved
4
Skipped

Job description

Job Title: Lead Consultant - Data Ops Engineer

Career Level - E

Introduction to role:

Join our Data Analytics and AI (DA&AI) team within Operations IT as The Data Foundation Data ops Engineer l guide the development and execution of roadmaps for data foundation platforms, focusing on design, optimization, and innovation. They will manage both technical and financial aspects of platforms, ensure alignment with security and compliance standards, and drive automation and efficiency. This role involves collaborating with stakeholders, overseeing third-party partnerships, and maintaining high-quality data and documentation. The Lead will also provide technical support, manage project resources, and drive technological innovation.

Key Responsibilities:


• Develop and implement strategic roadmaps for data foundation platforms. 
• Assess and improve current systems and apply technology to enhance data workflows. 
• Design and optimize data services and manage technology stacks. 
• Ensure automation and handle funding proposals. 
• Drive innovation and collaborate with stakeholders. 
• Oversee quality assurance for data services. 
• Manage project technical resources and evaluate external technical staff.



Essential Skills:


• Extensive experience managing data, analytics, and AI platforms. 
• Expertise in CloudOps, DevOps, DataOps, and infrastructure. 
• Strong knowledge of BI and data warehouse solutions, including Snowflake. 
• Proficient in AWS, Azure, Google Cloud, Python, Terraform, GitHub Actions, and Linux. 
• Effective communicator with Agile experience and strong stakeholder influence. Relevant technical degree; AWS experience with various services. 
• Skilled in GitHub Actions, Docker, Jira, NodeJS, EKS, AWS Amplify, Artifactory, and SonarQube. 
• Familiar with Lean design processes and Data Foundation technologies (e.g., Snowflake, dbt, Collibra, Monte Carlo).



Desirable:


• Knowledge of pharmaceutical industry data requirements and compliance standards. 
• High project management skills, with a focus on delivering outcomes on time.



When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.

At AstraZeneca, our work has a direct impact on patients by transforming our ability to develop life-changing medicines. We empower the business to perform at its peak by combining cutting-edge science with leading digital technology platforms and data. Join us at a crucial stage of our journey in becoming a digital and data-led enterprise. Here you can innovate, take ownership, experiment with leading-edge technology, and tackle challenges that might never have been addressed before. With countless opportunities to learn and grow, you will shape your own path with support all the way.

Ready to make a difference? Apply now to join our team!

Skills from this JD

Each row merges API 1 extraction, API 2 library match / v3 orchestration (dimensions + locked dims), and API 3 persistence tags.

AWS Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: AWS id=187 · aws

Aliases — catalog

  • AWS (CANONICAL) primary

Context tags (catalog)

API Gateway AWS CLI Auto Scaling CloudFormation CloudFront CloudTrail CloudWatch Cognito DynamoDB EC2 ECS EKS Elastic Beanstalk Elastic Load Balancing IAM KMS Lambda RDS Route 53 S3 SNS SQS Serverless VPC

Stored enrichment (catalog DB)

Category
Platform
Sub-category
Cloud Platform
Vendor
Amazon
License
other_open
Year introduced
2006
Confidence
0.99
Version strategy
NOT_APPLICABLE

Maturity reasoning: AWS is a hiring-pipeline staple: it appears in a large share of cloud/DevOps job descriptions and dominates public cloud market share, with broad certification and vendor ecosystem support.

Skill profile (library / DB)

Skill nature
PLATFORM
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
9
Sub-category id
46
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Cloud Platforms Catalog dimension db id 20

    Library dimension (catalog)

    Roles linked in library: .NET Backend Developer, Backend Developer, Cyber Security Engineer, Data Engineer, DevOps Engineer, Fullstack Developer, Go Backend Developer, Java Backend Developer, Kotlin Backend Developer, ML Engineer, MLOps Engineer, Node.js Backend Developer, Python Backend Developer, Scala Backend Developer

  • Cloud Platforms for AI Deployment Catalog dimension db id 211

    Library dimension (catalog)

    Roles linked in library: AI Engineer

  • Cloud Provider Platforms Catalog dimension db id 131

    Library dimension (catalog)

    Roles linked in library: Cloud Architect, Cloud Security Engineer

  • Cloud Security Posture Tools Catalog dimension db id 64

    Library dimension (catalog)

    Roles linked in library: Cloud Security Engineer, Cyber Security Engineer

  • Vendor Product Families Catalog dimension db id 477

    Library dimension (catalog)

    Roles linked in library: Engineering Manager

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Cloud Platforms
cloud-platforms
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Cloud Platforms for AI Deployment
cloud-platforms-for-ai-deployment
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Cloud Provider Platforms
cloud-provider-platforms
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Cloud Security Posture Tools
cloud-security-posture-tools
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Vendor Product Families
vendor-product-families
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Azure Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Azure id=188 · azure

Aliases — catalog

  • Azure (CANONICAL) primary

Context tags (catalog)

AKS ARM templates App Service Azure AD Azure Active Directory Azure App Service Azure Blob Azure Blob Storage Azure Cognitive Services Azure Cosmos DB Azure DevOps Azure DevTest Labs Azure Functions Azure Kubernetes Service Azure Logic Apps Azure Monitor Azure Networking Azure Resource Manager Azure SQL Azure SQL Database Azure Security Center Azure Storage Azure Storage Explorer Azure Virtual Machines Bicep Blob Storage Cloud Services Cosmos DB Entra ID Functions Infrastructure as Code Key Vault Log Analytics Logic Apps Resource Groups Serverless Computing Service Bus Storage Account Terraform Virtual Machines

Stored enrichment (catalog DB)

Category
Platform
Sub-category
Cloud Platform
Vendor
Microsoft
License
proprietary
Year introduced
2010
Confidence
0.99
Version strategy
NOT_APPLICABLE

Maturity reasoning: Azure is broadly adopted and frequently appears in cloud/platform job descriptions alongside AWS and GCP; Microsoft’s ongoing enterprise investment and Azure certification demand signal strong hiring-pipeline relevance.

Skill profile (library / DB)

Skill nature
PLATFORM
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
9
Sub-category id
46
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Cloud Platforms Catalog dimension db id 20

    Library dimension (catalog)

    Roles linked in library: .NET Backend Developer, Backend Developer, Cyber Security Engineer, Data Engineer, DevOps Engineer, Fullstack Developer, Go Backend Developer, Java Backend Developer, Kotlin Backend Developer, ML Engineer, MLOps Engineer, Node.js Backend Developer, Python Backend Developer, Scala Backend Developer

  • Cloud Platforms & Managed Services Catalog dimension db id 221

    Library dimension (catalog)

    Roles linked in library: Fullstack Developer, Go Backend Developer, Node.js Backend Developer

  • Cloud Platforms for AI Deployment Catalog dimension db id 211

    Library dimension (catalog)

    Roles linked in library: AI Engineer

  • Cloud Provider Platforms Catalog dimension db id 131

    Library dimension (catalog)

    Roles linked in library: Cloud Architect, Cloud Security Engineer

  • Cloud Security Posture Tools Catalog dimension db id 64

    Library dimension (catalog)

    Roles linked in library: Cloud Security Engineer, Cyber Security Engineer

  • Vendor Product Families Catalog dimension db id 477

    Library dimension (catalog)

    Roles linked in library: Engineering Manager

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Cloud Platforms
cloud-platforms
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Cloud Platforms & Managed Services
cloud-platforms-managed-services
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Cloud Platforms for AI Deployment
cloud-platforms-for-ai-deployment
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Cloud Provider Platforms
cloud-provider-platforms
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Cloud Security Posture Tools
cloud-security-posture-tools
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Vendor Product Families
vendor-product-families
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Google Cloud Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Google Cloud Platform id=425 · google-cloud-platform

Aliases — catalog

  • Google Cloud Platform (CANONICAL) primary

Context tags (catalog)

Anthos App Engine Artifact Registry BigQuery Cloud Build Cloud Functions Cloud Monitoring Cloud Pub/Sub Cloud Run Cloud SQL Cloud Spanner Cloud Storage Compute Engine Dataflow Dataproc GCP GKE IAM Kubernetes Kubernetes Engine Pub/Sub Serverless Stackdriver Terraform VPC

Stored enrichment (catalog DB)

Category
Platform
Sub-category
Cloud Platform
Vendor
Google
License
other_open
Year introduced
2008
Confidence
0.99
Version strategy
NOT_APPLICABLE

Maturity reasoning: GCP appears in many cloud-engineering job descriptions alongside AWS/Azure, and Google continues expanding managed services and certifications, indicating broad hiring demand rather than niche use.

Skill profile (library / DB)

Skill nature
PLATFORM
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
9
Sub-category id
46
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Cloud & Hosting Providers Catalog dimension db id 414

    Library dimension (catalog)

    Roles linked in library: PHP Backend Developer

  • Cloud Provider Platforms Catalog dimension db id 131

    Library dimension (catalog)

    Roles linked in library: Cloud Architect, Cloud Security Engineer

  • Cloud Security Posture Tools Catalog dimension db id 64

    Library dimension (catalog)

    Roles linked in library: Cloud Security Engineer, Cyber Security Engineer

  • Vendor Product Families Catalog dimension db id 477

    Library dimension (catalog)

    Roles linked in library: Engineering Manager

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Cloud & Hosting Providers
cloud-hosting-providers
Skipped — no persistable v3 meta for new skill
skill_not_in_db_v3_proposed
Cloud Provider Platforms
cloud-provider-platforms
Skipped — no persistable v3 meta for new skill
skill_not_in_db_v3_proposed
Cloud Security Posture Tools
cloud-security-posture-tools
Skipped — no persistable v3 meta for new skill
skill_not_in_db_v3_proposed
Vendor Product Families
vendor-product-families
Skipped — no persistable v3 meta for new skill
skill_not_in_db_v3_proposed
Python Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Python id=5 · python

Aliases — catalog

  • Python (CANONICAL) primary
  • Python 2 (VERSION)
  • Python 2.x (VERSION)
  • Python 3 (VERSION)
  • Python 3.10 (VERSION)
  • Python 3.11 (VERSION)
  • Python 3.12 (VERSION)
  • Python 3.x (VERSION)
  • py (VERSION)
  • py2 (VERSION)
  • py3 (VERSION)
  • python 3 (VERSION)
  • python 3.x (VERSION)
  • python2 (VERSION)
  • python3 (VERSION)
  • python3.x (VERSION)

Context tags (catalog)

API Django FastAPI Flask Jupyter NumPy PEP 8 Pandas REST SQLAlchemy asyncio pandas pip pytest type hints venv virtualenv

Stored enrichment (catalog DB)

Category
Language
Sub-category
Programming Language
Vendor
PSF
License
mit
Year introduced
1991
Confidence
0.99
Version strategy
SEPARATE_ENTITY
Version tag
3

Maturity reasoning: Python appears in a very high volume of job descriptions across data, backend, automation, and ML roles, and remains a default hiring-pipeline language on major job boards and tech stacks.

Skill profile (library / DB)

Skill nature
LANGUAGE
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
6
Sub-category id
96
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Cloud Security Scripting & DSL Languages Catalog dimension db id 248

    Library dimension (catalog)

    Roles linked in library: Cloud Security Engineer

  • Programming Languages Catalog dimension db id 1

    Library dimension (catalog)

    Roles linked in library: Backend Developer, Fullstack Developer, Fullstack Developer

  • Programming Languages & DSLs Catalog dimension db id 475

    Library dimension (catalog)

    Roles linked in library: Engineering Manager

  • Programming Languages and Scripting Catalog dimension db id 59

    Library dimension (catalog)

    Roles linked in library: Cyber Security Engineer

  • Programming Languages for Data Work Catalog dimension db id 21

    Library dimension (catalog)

    Roles linked in library: Data Engineer

  • Programming Languages for ML Systems Catalog dimension db id 39

    Library dimension (catalog)

    Roles linked in library: ML Engineer, MLOps Engineer

  • Programming Languages for XR Catalog dimension db id 97

    Library dimension (catalog)

    Roles linked in library: AR/VR Engineer

  • Python Programming Catalog dimension db id 290

    Library dimension (catalog)

    Roles linked in library: Python Backend Developer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Cloud Security Scripting & DSL Languages
cloud-security-scripting-dsl-languages
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Programming Languages
programming-languages
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Programming Languages & DSLs
programming-languages-dsls
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Programming Languages and Scripting
programming-languages-and-scripting
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Programming Languages for Data Work
programming-languages-for-data-work
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Programming Languages for ML Systems
programming-languages-for-ml-systems
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Programming Languages for XR
programming-languages-for-xr
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Python Programming
python-programming
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Terraform Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Terraform id=286 · terraform

Aliases — catalog

  • Terraform (CANONICAL) primary

Context tags (catalog)

AWS Azure GCP HCL IaC Terraform Cloud Terraform Enterprise Terraform Registry Terragrunt apply backend destroy infrastructure automation modules outputs plan providers provisioning remote backends remote state resource blocks resource management state file state management terraform apply terraform plan variables version control workspaces

Stored enrichment (catalog DB)

Category
Tool
Sub-category
Infrastructure As Code Tool
Vendor
HashiCorp
License
mpl
Year introduced
2014
Confidence
0.93
Version strategy
NOT_APPLICABLE

Maturity reasoning: Terraform is broadly listed in DevOps/SRE/cloud JDs and remains a standard IaC tool across AWS/Azure/GCP; HashiCorp’s ecosystem and widespread GitHub usage signal strong market adoption.

Skill profile (library / DB)

Skill nature
TOOL
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
13
Sub-category id
191
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Infrastructure & Security Automation Frameworks Catalog dimension db id 249

    Library dimension (catalog)

    Roles linked in library: Cloud Security Engineer

  • Infrastructure as Code Catalog dimension db id 132

    Library dimension (catalog)

    Roles linked in library: Cloud Architect, DevOps Engineer

  • Infrastructure as Code for ML Catalog dimension db id 57

    Library dimension (catalog)

    Roles linked in library: ML Engineer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Infrastructure & Security Automation Frameworks
infrastructure-security-automation-frameworks
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Infrastructure as Code
infrastructure-as-code
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Infrastructure as Code for ML
infrastructure-as-code-for-ml
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
GitHub Actions Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: GitHub Actions id=281 · github-actions

Aliases — catalog

  • GitHub Actions (CANONICAL) primary

Context tags (catalog)

CI/CD GitHub YAML actions actions/checkout actions/setup-node artifacts automation build continuous deployment continuous integration cron deployment environments jobs matrix pull_request push repository reusable workflows runner secrets steps test trigger workflow

Stored enrichment (catalog DB)

Category
Service
Sub-category
Ci Cd Service
Vendor
GitHub
License
apache_2
Year introduced
2018
Confidence
0.93
Version strategy
NOT_APPLICABLE

Maturity reasoning: Common CI/CD skill in job postings and GitHub’s default automation platform; widely used for build, test, and deploy workflows across repos.

Skill profile (library / DB)

Skill nature
CLOUD_SERVICE
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
11
Sub-category id
178
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • CI/CD Pipeline Platforms Catalog dimension db id 150

    Library dimension (catalog)

    Roles linked in library: DevOps Engineer

  • CI/CD for Machine Learning Catalog dimension db id 56

    Library dimension (catalog)

    Roles linked in library: ML Engineer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
CI/CD Pipeline Platforms
ci-cd-pipeline-platforms
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
CI/CD for Machine Learning
ci-cd-for-machine-learning
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Linux Primary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
Operating Systems
Sub-category
general
Skill nature
TOOL
Volatility
STABLE
Typical lifespan
EVERGREEN
Version strategy
UNVERSIONED
Agile Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Agile id=520 · agile

Aliases — catalog

  • Agile (CANONICAL) primary

Context tags (catalog)

Kanban SAFe Scrum backlog backlog grooming burndown burndown chart continuous delivery continuous improvement cross-functional daily standup epics incremental development iteration iteration planning lean product backlog product owner retrospective sprint sprint planning stand-up story points user stories velocity

Stored enrichment (catalog DB)

Category
Methodology
Sub-category
Agile
Confidence
0.99
Version strategy
NOT_APPLICABLE

Maturity reasoning: Agile appears in a large share of software job descriptions and is a standard hiring-pipeline requirement; Scrum/Kanban are commonly listed alongside it, showing broad market adoption.

Skill profile (library / DB)

Skill nature
METHODOLOGY
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
8
Sub-category id
3594
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • React Frontend Development Catalog dimension db id 96

    Library dimension (catalog)

  • Software Concepts, Patterns & Practices Catalog dimension db id 478

    Library dimension (catalog)

    Roles linked in library: Engineering Manager

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
React Frontend Development
d_init_01
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Software Concepts, Patterns & Practices
software-concepts-patterns-practices
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Snowflake Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Snowflake id=105 · snowflake

Aliases — catalog

  • Snowflake (CANONICAL) primary

Context tags (catalog)

ELT ETL SQL Snowpark Snowpipe Streams Tasks Time Travel VARIANT data sharing data warehouse dbt semi-structured data virtual warehouse zero-copy cloning

Stored enrichment (catalog DB)

Category
Platform
Sub-category
Data Cloud Platform
Vendor
Snowflake Inc.
License
proprietary
Year introduced
2012
Confidence
0.98
Version strategy
NOT_APPLICABLE

Maturity reasoning: Snowflake appears frequently in data/analytics job postings and is a standard cloud data warehouse platform alongside BigQuery and Redshift.

Skill profile (library / DB)

Skill nature
PLATFORM
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
9
Sub-category id
113
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Cloud Data Warehouses Catalog dimension db id 22

    Library dimension (catalog)

    Roles linked in library: Data Engineer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Cloud Data Warehouses
cloud-data-warehouses
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Docker Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Docker id=61 · docker

Aliases — catalog

  • Docker (CANONICAL) primary

Context tags (catalog)

CI/CD Compose DevOps Docker Compose Docker Swarm Dockerfile Kubernetes build pipeline container container lifecycle container orchestration container registry container security containerization containers image image registry images immutable infrastructure lightweight virtualization microservices networking orchestration port mapping registry scalability service discovery swarm volume volume management

Stored enrichment (catalog DB)

Category
Tool
Sub-category
Containerization Tool
Vendor
Docker, Inc.
License
apache_2
Year introduced
2013
Confidence
0.98
Version strategy
NOT_APPLICABLE

Maturity reasoning: Docker is a hiring-pipeline staple: it appears in many DevOps, backend, and platform JDs, and remains a standard containerization tool alongside Kubernetes in production stacks.

Skill profile (library / DB)

Skill nature
TOOL
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
13
Sub-category id
63
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Containerization and Image Builds Catalog dimension db id 152

    Library dimension (catalog)

    Roles linked in library: DevOps Engineer

  • Deployment and Cloud Platforms Catalog dimension db id 418

    Library dimension (catalog)

    Roles linked in library: Ruby Backend Developer

  • Deployment and Runtime Configuration Catalog dimension db id 13

    Library dimension (catalog)

    Roles linked in library: .NET Backend Developer, Backend Developer, Go Backend Developer, PHP Backend Developer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Containerization and Image Builds
containerization-and-image-builds
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Deployment and Cloud Platforms
deployment-and-cloud-platforms
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Deployment and Runtime Configuration
deployment-and-runtime-configuration
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Jira Primary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
Project Management Tools
Sub-category
general
Skill nature
TOOL
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Node.js Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Node.js id=1564 · node-js

Aliases — catalog

  • Node.js (CANONICAL) primary
  • Node 20 LTS (VERSION)
  • Node 20.x (VERSION)
  • Node.js 20 (VERSION)
  • Node.js 20 LTS (VERSION)
  • Node.js 20.x (VERSION)
  • node (VERSION)
  • node 10 (VERSION)
  • node 12 (VERSION)
  • node 14 (VERSION)
  • node 16 (VERSION)
  • node 18 (VERSION)
  • node 20 (VERSION)
  • node v10 (VERSION)
  • node v12 (VERSION)
  • node v14 (VERSION)
  • node v16 (VERSION)
  • node v18 (VERSION)
  • node v20 (VERSION)
  • node.js (VERSION)
  • node.js 10 (VERSION)
  • node.js 12 (VERSION)
  • node.js 14 (VERSION)
  • node.js 16 (VERSION)
  • node.js 18 (VERSION)
  • node.js 20 (VERSION)
  • nodejs (VERSION)
  • nodejs 10 (VERSION)
  • nodejs 12 (VERSION)
  • nodejs 14 (VERSION)
  • nodejs 16 (VERSION)
  • nodejs 18 (VERSION)
  • nodejs 20 (VERSION)

Context tags (catalog)

API Asynchronous Event-driven Express GraphQL JavaScript Jest Koa Microservices Middleware Mocha MongoDB Mongoose NestJS RESTful Socket.io TypeScript npm

Stored enrichment (catalog DB)

Category
Runtime
Sub-category
Javascript Runtime
Vendor
OpenJS Foundation
License
mit
Year introduced
2009
Confidence
0.99
Version strategy
SEPARATE_ENTITY
Version tag
20

Maturity reasoning: Node.js appears in high-volume job postings across backend/full-stack roles and is a standard runtime in major cloud/vendor docs and ecosystem tooling, indicating broad hiring-pipeline adoption.

Skill profile (library / DB)

Skill nature
RUNTIME
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
67
Sub-category id
1872
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • JavaScript and TypeScript Catalog dimension db id 114

    Library dimension (catalog)

    Roles linked in library: Angular Frontend Developer, Frontend Developer, Ionic Developer, Node.js Backend Developer, React Frontend Developer, React Native Developer, Svelte Frontend Developer, Vue Frontend Developer, Web Developer

  • Web Application Frameworks Catalog dimension db id 2

    Library dimension (catalog)

    Roles linked in library: Backend Developer, Fullstack Developer, Fullstack Developer, Java Backend Developer, Node.js Backend Developer, PHP Backend Developer, Python Backend Developer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
JavaScript and TypeScript
javascript-and-typescript
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Web Application Frameworks
web-application-frameworks
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
EKS Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: EKS id=1622 · eks

Aliases — catalog

  • EKS (CANONICAL)

Context tags (catalog)

AWS CI/CD CloudFormation ECR Fargate Helm Kubernetes container orchestration kubectl load balancing microservices monitoring network policies scalability service mesh

Stored enrichment (catalog DB)

Category
Platform
Sub-category
Kubernetes Platform
Vendor
Amazon
License
unknown
Year introduced
2018
Confidence
0.97
Version strategy
NOT_APPLICABLE

Maturity reasoning: Amazon EKS appears in many cloud/Kubernetes job postings and is a standard managed Kubernetes option on AWS, with strong vendor docs and ecosystem adoption.

Skill profile (library / DB)

Skill nature
PLATFORM
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
9
Sub-category id
927
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Kubernetes for ML Workloads Catalog dimension db id 47

    Library dimension (catalog)

    Roles linked in library: ML Engineer, MLOps Engineer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Kubernetes for ML Workloads
kubernetes-for-ml-workloads
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
AWS Amplify Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: AWS Amplify id=2186 · aws-amplify

Aliases — catalog

  • AWS Amplify (CANONICAL) primary

Context tags (catalog)

Amplify CLI Amplify Studio Analytics AppSync Authentication CI/CD CloudFormation Cognito DataStore Deployment DynamoDB GraphQL Hosting Lambda Mobile Mobile Backend Push Notifications REST API S3 Serverless Storage Web

Stored enrichment (catalog DB)

Category
Platform
Sub-category
Vendor Platform
Vendor
Amazon Web Services
License
apache_2
Year introduced
2017
Confidence
0.97
Version strategy
NOT_APPLICABLE

Maturity reasoning: AWS Amplify appears in growing numbers of frontend/mobile JDs and AWS docs, but it is still far less common than core AWS services like S3 or Lambda, indicating rising but not universal adoption.

Skill profile (library / DB)

Skill nature
PLATFORM
Volatility
EMERGING
Typical lifespan
EVERGREEN
Category id
9
Sub-category id
3372
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Cloud Hosting and Deployment Platforms for Web Applications Catalog dimension db id 301

    Library dimension (catalog)

    Roles linked in library: Angular Frontend Developer, React Frontend Developer, Svelte Frontend Developer, Vue Frontend Developer

  • Cloud Platforms & Hosting Providers Catalog dimension db id 278

    Library dimension (catalog)

    Roles linked in library: .NET Backend Developer, Kotlin Backend Developer, Scala Backend Developer, Web Developer

  • Mobile Vendor Product Families Catalog dimension db id 321

    Library dimension (catalog)

    Roles linked in library: React Native Developer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Cloud Hosting and Deployment Platforms for Web Applications
cloud-hosting-and-deployment-platforms-for-web-applications
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Cloud Platforms & Hosting Providers
cloud-platforms-hosting-providers
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Mobile Vendor Product Families
mobile-vendor-product-families
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Artifactory Primary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
Package Management Tools
Sub-category
general
Skill nature
TOOL
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
SonarQube Primary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
Code Quality Tools
Sub-category
general
Skill nature
TOOL
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
dbt Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: dbt id=115 · dbt

Aliases — catalog

  • dbt (CANONICAL) primary

Context tags (catalog)

BigQuery Databricks ELT Jinja Redshift SQL Snowflake YAML data modeling incremental models macros snapshots sources tests warehouse

Stored enrichment (catalog DB)

Category
Framework
Sub-category
Analytics Engineering Framework
Vendor
dbt Labs
License
apache_2
Year introduced
2016
Confidence
0.97
Version strategy
NOT_APPLICABLE

Maturity reasoning: dbt appears in many analytics engineer and data platform job descriptions, and its GitHub repo has strong adoption signals with widespread ecosystem support from major cloud/data vendors.

Skill profile (library / DB)

Skill nature
FRAMEWORK
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
5
Sub-category id
89
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • ETL and ELT Tooling Catalog dimension db id 24

    Library dimension (catalog)

    Roles linked in library: Data Engineer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
ETL and ELT Tooling
etl-and-elt-tooling
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Collibra Primary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
Data Governance Tools
Sub-category
general
Skill nature
TOOL
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Monte Carlo Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Monte Carlo id=132 · monte-carlo

Aliases — catalog

  • Monte Carlo (CANONICAL) primary

Context tags (catalog)

Latin hypercube sampling Markov chain Monte Carlo simulation bootstrap numerical methods option pricing probabilistic modeling quasi-Monte Carlo random sampling risk analysis scenario analysis simulation stochastic uncertainty quantification variance reduction

Stored enrichment (catalog DB)

Category
Platform
Sub-category
Data Observability Platform
Vendor
Monte Carlo Data, Inc.
License
proprietary
Year introduced
2019
Confidence
0.97
Version strategy
NOT_APPLICABLE

Maturity reasoning: Data observability platforms like Monte Carlo are increasingly appearing in analytics/DE job descriptions, but JD volume is still far below core platforms like Datadog or Snowflake.

Skill profile (library / DB)

Skill nature
PLATFORM
Volatility
EMERGING
Typical lifespan
EVERGREEN
Category id
9
Sub-category id
115
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Data Quality and Reconciliation Catalog dimension db id 27

    Library dimension (catalog)

    Roles linked in library: Data Engineer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Data Quality and Reconciliation
data-quality-and-reconciliation
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)

All API 3 persistence rows

Same grid as the skill-extractor “Persistence items” table: one row per (skill × dimension) work item.

Skill Tag Dimension Skill↔dim Role↔dim Outcome Notes
AWS in_db
Cloud Platforms
cloud-platforms
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
AWS in_db
Cloud Platforms for AI Deployment
cloud-platforms-for-ai-deployment
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
AWS in_db
Cloud Provider Platforms
cloud-provider-platforms
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
AWS in_db
Cloud Security Posture Tools
cloud-security-posture-tools
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
AWS in_db
Vendor Product Families
vendor-product-families
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Azure in_db
Cloud Platforms
cloud-platforms
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Azure in_db
Cloud Platforms & Managed Services
cloud-platforms-managed-services
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Azure in_db
Cloud Platforms for AI Deployment
cloud-platforms-for-ai-deployment
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Azure in_db
Cloud Provider Platforms
cloud-provider-platforms
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Azure in_db
Cloud Security Posture Tools
cloud-security-posture-tools
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Azure in_db
Vendor Product Families
vendor-product-families
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Google Cloud new
Cloud & Hosting Providers
cloud-hosting-providers
Skipped — no persistable v3 meta for new skill skill_not_in_db_v3_proposed
Google Cloud new
Cloud Provider Platforms
cloud-provider-platforms
Skipped — no persistable v3 meta for new skill skill_not_in_db_v3_proposed
Google Cloud new
Cloud Security Posture Tools
cloud-security-posture-tools
Skipped — no persistable v3 meta for new skill skill_not_in_db_v3_proposed
Google Cloud new
Vendor Product Families
vendor-product-families
Skipped — no persistable v3 meta for new skill skill_not_in_db_v3_proposed
Python in_db
Cloud Security Scripting & DSL Languages
cloud-security-scripting-dsl-languages
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Python in_db
Programming Languages
programming-languages
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Python in_db
Programming Languages & DSLs
programming-languages-dsls
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Python in_db
Programming Languages and Scripting
programming-languages-and-scripting
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Python in_db
Programming Languages for Data Work
programming-languages-for-data-work
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Python in_db
Programming Languages for ML Systems
programming-languages-for-ml-systems
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Python in_db
Programming Languages for XR
programming-languages-for-xr
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Python in_db
Python Programming
python-programming
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Terraform in_db
Infrastructure & Security Automation Frameworks
infrastructure-security-automation-frameworks
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Terraform in_db
Infrastructure as Code
infrastructure-as-code
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Terraform in_db
Infrastructure as Code for ML
infrastructure-as-code-for-ml
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
GitHub Actions in_db
CI/CD Pipeline Platforms
ci-cd-pipeline-platforms
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
GitHub Actions in_db
CI/CD for Machine Learning
ci-cd-for-machine-learning
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Agile in_db
React Frontend Development
d_init_01
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Agile in_db
Software Concepts, Patterns & Practices
software-concepts-patterns-practices
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Snowflake in_db
Cloud Data Warehouses
cloud-data-warehouses
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Docker in_db
Containerization and Image Builds
containerization-and-image-builds
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Docker in_db
Deployment and Cloud Platforms
deployment-and-cloud-platforms
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Docker in_db
Deployment and Runtime Configuration
deployment-and-runtime-configuration
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Node.js in_db
JavaScript and TypeScript
javascript-and-typescript
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Node.js in_db
Web Application Frameworks
web-application-frameworks
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
EKS in_db
Kubernetes for ML Workloads
kubernetes-for-ml-workloads
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
AWS Amplify in_db
Cloud Hosting and Deployment Platforms for Web Applications
cloud-hosting-and-deployment-platforms-for-web-applications
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
AWS Amplify in_db
Cloud Platforms & Hosting Providers
cloud-platforms-hosting-providers
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
AWS Amplify in_db
Mobile Vendor Product Families
mobile-vendor-product-families
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
dbt in_db
ETL and ELT Tooling
etl-and-elt-tooling
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Monte Carlo in_db
Data Quality and Reconciliation
data-quality-and-reconciliation
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)

Library artifacts (this run)

Kind Detail DB id
canonical_skill_proposed Linux | type=Operating Systems subtype=general nature=TOOL lifespan=EVERGREEN
canonical_skill_proposed Jira | type=Project Management Tools subtype=general nature=TOOL lifespan=MULTI_YEAR
canonical_skill_proposed Artifactory | type=Package Management Tools subtype=general nature=TOOL lifespan=MULTI_YEAR
canonical_skill_proposed SonarQube | type=Code Quality Tools subtype=general nature=TOOL lifespan=MULTI_YEAR
canonical_skill_proposed Collibra | type=Data Governance Tools subtype=general nature=TOOL lifespan=MULTI_YEAR
dimension_skill_link_proposed Google Cloud ↔ Cloud & Hosting Providers
dimension_skill_link_proposed Google Cloud ↔ Cloud Provider Platforms
dimension_skill_link_proposed Google Cloud ↔ Cloud Security Posture Tools
dimension_skill_link_proposed Google Cloud ↔ Vendor Product Families
nano JD Parser — gpt-4.1-nano click to toggle
RoleLead Consultant - Data Ops Engineer
CompanyAstraZeneca
DomainPharmaceuticals & Life Sciences
JD type pass
Show raw JSON
{
  "JD_type": "pass",
  "about_company": {
    "source_marker": {
      "first_5_words": "At AstraZeneca, our work has",
      "last_5_words": "with support all the way."
    },
    "text": "At AstraZeneca, our work has a direct impact on patients by transforming our ability to develop life-changing medicines. We empower the business to perform at its peak by combining cutting-edge science with leading digital technology platforms and data. Join us at a crucial stage of our journey in becoming a digital and data-led enterprise. Here you can innovate, take ownership, experiment with leading-edge technology, and tackle challenges that might never have been addressed before. With countless opportunities to learn and grow, you will shape your own path with support all the way.",
    "word_count": 84
  },
  "certifications": [],
  "company_name": "AstraZeneca",
  "ctc": null,
  "domain": {
    "primary": {
      "aliases": [
        "Pharma",
        "Life Sciences"
      ],
      "domain": "Pharmaceuticals \u0026 Life Sciences"
    },
    "secondary": null
  },
  "education": [
    {
      "level": "null",
      "qualification": "null - Relevant Technical Degree",
      "raw": "Relevant technical degree; AWS experience with various services.",
      "requirement": "required"
    }
  ],
  "experience": null,
  "job_locations": [],
  "role": "Lead Consultant - Data Ops Engineer",
  "role_aliases": [
    "Data Ops Engineer",
    "Data Operations Consultant",
    "Lead Data Engineer"
  ],
  "role_archetype": "Data",
  "roles_and_responsibilities": [
    {
      "bullet_count": 7,
      "heading": "Key Responsibilities",
      "heading_was_present": true,
      "source_marker": {
        "first_5_words": "\u2022 Develop and implement strategic",
        "last_5_words": "evaluate external technical staff."
      },
      "text": "\u2022 Develop and implement strategic roadmaps for data foundation platforms.\n\u2022 Assess and improve current systems and apply technology to enhance data workflows.\n\u2022 Design and optimize data services and manage technology stacks.\n\u2022 Ensure automation and handle funding proposals.\n\u2022 Drive innovation and collaborate with stakeholders.\n\u2022 Oversee quality assurance for data services.\n\u2022 Manage project technical resources and evaluate external technical staff.",
      "word_count": 66
    },
    {
      "bullet_count": 7,
      "heading": "Essential Skills",
      "heading_was_present": true,
      "source_marker": {
        "first_5_words": "\u2022 Extensive experience managing data,",
        "last_5_words": "dbt, Collibra, Monte Carlo)."
      },
      "text": "\u2022 Extensive experience managing data, analytics, and AI platforms.\n\u2022 Expertise in CloudOps, DevOps, DataOps, and infrastructure.\n\u2022 Strong knowledge of BI and data warehouse solutions, including Snowflake.\n\u2022 Proficient in AWS, Azure, Google Cloud, Python, Terraform, GitHub Actions, and Linux.\n\u2022 Effective communicator with Agile experience and strong stakeholder influence. Relevant technical degree; AWS experience with various services.\n\u2022 Skilled in GitHub Actions, Docker, Jira, NodeJS, EKS, AWS Amplify, Artifactory, and SonarQube.\n\u2022 Familiar with Lean design processes and Data Foundation technologies (e.g., Snowflake, dbt, Collibra, Monte Carlo).",
      "word_count": 104
    },
    {
      "bullet_count": 2,
      "heading": "Desirable",
      "heading_was_present": true,
      "source_marker": {
        "first_5_words": "\u2022 Knowledge of pharmaceutical industry",
        "last_5_words": "on time."
      },
      "text": "\u2022 Knowledge of pharmaceutical industry data requirements and compliance standards.\n\u2022 High project management skills, with a focus on delivering outcomes on time.",
      "word_count": 24
    }
  ],
  "urls": []
}
API 1 — extract-from-jd click to toggle
{
  "final_skills": [
    {
      "is_primary": true,
      "skill_name": "AWS"
    },
    {
      "is_primary": true,
      "skill_name": "Azure"
    },
    {
      "is_primary": true,
      "skill_name": "Google Cloud"
    },
    {
      "is_primary": true,
      "skill_name": "Python"
    },
    {
      "is_primary": true,
      "skill_name": "Terraform"
    },
    {
      "is_primary": true,
      "skill_name": "GitHub Actions"
    },
    {
      "is_primary": true,
      "skill_name": "Linux"
    },
    {
      "is_primary": true,
      "skill_name": "Agile"
    },
    {
      "is_primary": true,
      "skill_name": "Snowflake"
    },
    {
      "is_primary": true,
      "skill_name": "Docker"
    },
    {
      "is_primary": true,
      "skill_name": "Jira"
    },
    {
      "is_primary": true,
      "skill_name": "Node.js"
    },
    {
      "is_primary": true,
      "skill_name": "EKS"
    },
    {
      "is_primary": true,
      "skill_name": "AWS Amplify"
    },
    {
      "is_primary": true,
      "skill_name": "Artifactory"
    },
    {
      "is_primary": true,
      "skill_name": "SonarQube"
    },
    {
      "is_primary": true,
      "skill_name": "dbt"
    },
    {
      "is_primary": true,
      "skill_name": "Collibra"
    },
    {
      "is_primary": true,
      "skill_name": "Monte Carlo"
    }
  ],
  "jd_role": {
    "display_name": "Lead Consultant - Data Ops Engineer",
    "rationale": null,
    "role_aliases": [
      "Data Ops Engineer",
      "Data Operations Consultant",
      "Lead Data Engineer"
    ],
    "role_archetype": "Data",
    "slug": ""
  },
  "nano_parsed": {
    "JD_type": "pass",
    "about_company": {
      "source_marker": {
        "first_5_words": "At AstraZeneca, our work has",
        "last_5_words": "with support all the way."
      },
      "text": "At AstraZeneca, our work has a direct impact on patients by transforming our ability to develop life-changing medicines. We empower the business to perform at its peak by combining cutting-edge science with leading digital technology platforms and data. Join us at a crucial stage of our journey in becoming a digital and data-led enterprise. Here you can innovate, take ownership, experiment with leading-edge technology, and tackle challenges that might never have been addressed before. With countless opportunities to learn and grow, you will shape your own path with support all the way.",
      "word_count": 84
    },
    "certifications": [],
    "company_name": "AstraZeneca",
    "ctc": null,
    "domain": {
      "primary": {
        "aliases": [
          "Pharma",
          "Life Sciences"
        ],
        "domain": "Pharmaceuticals \u0026 Life Sciences"
      },
      "secondary": null
    },
    "education": [
      {
        "level": "null",
        "qualification": "null - Relevant Technical Degree",
        "raw": "Relevant technical degree; AWS experience with various services.",
        "requirement": "required"
      }
    ],
    "experience": null,
    "job_locations": [],
    "role": "Lead Consultant - Data Ops Engineer",
    "role_aliases": [
      "Data Ops Engineer",
      "Data Operations Consultant",
      "Lead Data Engineer"
    ],
    "role_archetype": "Data",
    "roles_and_responsibilities": [
      {
        "bullet_count": 7,
        "heading": "Key Responsibilities",
        "heading_was_present": true,
        "source_marker": {
          "first_5_words": "\u2022 Develop and implement strategic",
          "last_5_words": "evaluate external technical staff."
        },
        "text": "\u2022 Develop and implement strategic roadmaps for data foundation platforms.\n\u2022 Assess and improve current systems and apply technology to enhance data workflows.\n\u2022 Design and optimize data services and manage technology stacks.\n\u2022 Ensure automation and handle funding proposals.\n\u2022 Drive innovation and collaborate with stakeholders.\n\u2022 Oversee quality assurance for data services.\n\u2022 Manage project technical resources and evaluate external technical staff.",
        "word_count": 66
      },
      {
        "bullet_count": 7,
        "heading": "Essential Skills",
        "heading_was_present": true,
        "source_marker": {
          "first_5_words": "\u2022 Extensive experience managing data,",
          "last_5_words": "dbt, Collibra, Monte Carlo)."
        },
        "text": "\u2022 Extensive experience managing data, analytics, and AI platforms.\n\u2022 Expertise in CloudOps, DevOps, DataOps, and infrastructure.\n\u2022 Strong knowledge of BI and data warehouse solutions, including Snowflake.\n\u2022 Proficient in AWS, Azure, Google Cloud, Python, Terraform, GitHub Actions, and Linux.\n\u2022 Effective communicator with Agile experience and strong stakeholder influence. Relevant technical degree; AWS experience with various services.\n\u2022 Skilled in GitHub Actions, Docker, Jira, NodeJS, EKS, AWS Amplify, Artifactory, and SonarQube.\n\u2022 Familiar with Lean design processes and Data Foundation technologies (e.g., Snowflake, dbt, Collibra, Monte Carlo).",
        "word_count": 104
      },
      {
        "bullet_count": 2,
        "heading": "Desirable",
        "heading_was_present": true,
        "source_marker": {
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      }
    ],
    "urls": []
  },
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            "similarity": 0.5028
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    ],
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        "matched_skills": [
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          "Monte Carlo",
          "Python",
          "Snowflake",
          "dbt"
        ],
        "role_id": 2,
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      {
        "display_name": "ML Engineer",
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        "matched_skills": [
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          "EKS",
          "GitHub Actions",
          "Python",
          "Terraform"
        ],
        "role_id": 3,
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      {
        "display_name": "DevOps Engineer",
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          "AWS",
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          "Docker",
          "GitHub Actions",
          "Terraform"
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        "role_id": 10,
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      {
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      {
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          "Node.js",
          "Python"
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    "alias_collision_detected": false,
    "case": "DOMAIN",
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    "confidence": 0.96,
    "is_new_role": false,
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      "DataOps",
      "Snowflake",
      "AWS",
      "Azure",
      "Google Cloud",
      "Python",
      "Terraform",
      "GitHub Actions",
      "Linux",
      "Docker",
      "Jira",
      "NodeJS",
      "EKS",
      "AWS Amplify",
      "Artifactory",
      "SonarQube",
      "dbt",
      "Collibra"
    ],
    "new_role_display_name": null,
    "new_role_slug": null,
    "queued": false,
    "reasoning": "Domain=Data Engineering \u0026 Analytics; The JD centers on strategic data platform roadmaps, automation, data workflows, and CloudOps/DevOps/DataOps ownership, which most directly matches DataOps Engineer.",
    "sub_role": null
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    "centroid_updated": true,
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        "is_primary": true,
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      },
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        "is_primary": true,
        "queue_id": 15740,
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      {
        "is_primary": true,
        "queue_id": 15742,
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}
API 2 — extract-details
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        "is_also_category": false,
        "is_extractable": true,
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      "matched_via": "alias"
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        "is_extractable": true,
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        "typical_lifespan": "EVERGREEN",
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      "matched_via": "alias"
    },
    {
      "alias_persist_skipped_reason": "TODO: REMOVE AFTER TESTING \u2014 alias DB write disabled",
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        "volatility": "STABLE"
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      "matched_via": "embedding_alias"
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      "alias_persist_skipped_reason": "alias_text already exists for this canonical skill",
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      "matched_via": "alias"
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      "alias_persist_skipped_reason": "alias_text already exists for this canonical skill",
      "alias_persisted": false,
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      "matched_via": "alias"
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      "matched_via": "alias"
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    {
      "alias_persist_skipped_reason": "alias_text already exists for this canonical skill",
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      "existing_alias_id": 868,
      "existing_alias_text": "Agile",
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      "matched_via": "alias"
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      "matched_via": "alias"
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        "is_extractable": true,
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      "matched_via": "alias"
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    {
      "alias_persist_skipped_reason": "alias_text already exists for this canonical skill",
      "alias_persisted": false,
      "existing_alias_id": 2500,
      "existing_alias_text": "Node.js",
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      "matched_via": "alias"
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      "matched_via": "alias"
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      "alias_persist_skipped_reason": "alias_text already exists for this canonical skill",
      "alias_persisted": false,
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      "matched_via": "alias"
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      "existing_alias_text": "dbt",
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      "matched_via": "alias"
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    {
      "alias_persist_skipped_reason": "alias_text already exists for this canonical skill",
      "alias_persisted": false,
      "existing_alias_id": 336,
      "existing_alias_text": "Monte Carlo",
      "input_term": "Monte Carlo",
      "matched_canonical": {
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        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "PLATFORM",
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        "volatility": "EMERGING"
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      "matched_via": "alias"
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          "id": 3790,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "node 20",
          "alias_type": "VERSION",
          "id": 2503,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "node v10",
          "alias_type": "VERSION",
          "id": 3793,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "node v12",
          "alias_type": "VERSION",
          "id": 3794,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "node v14",
          "alias_type": "VERSION",
          "id": 3795,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "node v16",
          "alias_type": "VERSION",
          "id": 3796,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "node v18",
          "alias_type": "VERSION",
          "id": 3797,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "node v20",
          "alias_type": "VERSION",
          "id": 3798,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "node.js",
          "alias_type": "VERSION",
          "id": 3792,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "node.js 10",
          "alias_type": "VERSION",
          "id": 3805,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "node.js 12",
          "alias_type": "VERSION",
          "id": 3806,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "node.js 14",
          "alias_type": "VERSION",
          "id": 3807,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "node.js 16",
          "alias_type": "VERSION",
          "id": 3808,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "node.js 18",
          "alias_type": "VERSION",
          "id": 3809,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "node.js 20",
          "alias_type": "VERSION",
          "id": 3810,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "nodejs",
          "alias_type": "VERSION",
          "id": 2502,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "nodejs 10",
          "alias_type": "VERSION",
          "id": 3799,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "nodejs 12",
          "alias_type": "VERSION",
          "id": 3800,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "nodejs 14",
          "alias_type": "VERSION",
          "id": 3801,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "nodejs 16",
          "alias_type": "VERSION",
          "id": 3802,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "nodejs 18",
          "alias_type": "VERSION",
          "id": 3803,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "nodejs 20",
          "alias_type": "VERSION",
          "id": 2504,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        }
      ],
      "canonical": {
        "category_id": 67,
        "display_name": "Node.js",
        "id": 1564,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "RUNTIME",
        "slug": "node-js",
        "sub_category_id": 1872,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "dimensions": [
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "JavaScript and TypeScript",
            "id": 114,
            "rationale": "Primary implementation languages for browser client code, UI logic, and shared frontend utilities. These languages are the main coding surface for building interactive web experiences in this role.",
            "slug": "javascript-and-typescript",
            "source": "db"
          },
          "input_skill": "Node.js",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "Angular Frontend Developer",
              "id": 90,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "angular-frontend-developer",
              "source": "db"
            },
            {
              "display_name": "Frontend Developer",
              "id": 7,
              "rationale": null,
              "role_archetype": null,
              "slug": "frontend-engineer",
              "source": "db"
            },
            {
              "display_name": "Ionic Developer",
              "id": 434,
              "rationale": null,
              "role_archetype": null,
              "slug": "ionic-developer",
              "source": "db"
            },
            {
              "display_name": "Node.js Backend Developer",
              "id": 82,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "node-backend-developer",
              "source": "db"
            },
            {
              "display_name": "React Frontend Developer",
              "id": 89,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "react-frontend-developer",
              "source": "db"
            },
            {
              "display_name": "React Native Developer",
              "id": 73,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "react-native-developer",
              "source": "db"
            },
            {
              "display_name": "Svelte Frontend Developer",
              "id": 92,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "svelte-frontend-developer",
              "source": "db"
            },
            {
              "display_name": "Vue Frontend Developer",
              "id": 91,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "vue-frontend-developer",
              "source": "db"
            },
            {
              "display_name": "Web Developer",
              "id": 25,
              "rationale": null,
              "role_archetype": null,
              "slug": "web-developer",
              "source": "db"
            }
          ]
        },
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Web Application Frameworks",
            "id": 2,
            "rationale": "Server frameworks and runtimes used to build HTTP services, controllers, middleware, and request pipelines. These frameworks shape how backend endpoints are structured and delivered.",
            "slug": "web-application-frameworks",
            "source": "db"
          },
          "input_skill": "Node.js",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "Backend Developer",
              "id": 1,
              "rationale": null,
              "role_archetype": "A Backend Engineer designs, builds, and maintains the server-side logic and data handling that power applications and services. They focus on implementing reliable business functionality, integrating with other systems, and ensuring the backend is scalable, maintainable, and observable.",
              "slug": "backend-engineer",
              "source": "db"
            },
            {
              "display_name": "Fullstack Developer",
              "id": 15,
              "rationale": null,
              "role_archetype": null,
              "slug": "full-stack-engineer",
              "source": "db"
            },
            {
              "display_name": "Fullstack Developer",
              "id": 435,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "fullstack-developer",
              "source": "db"
            },
            {
              "display_name": "Java Backend Developer",
              "id": 79,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "java-backend-developer",
              "source": "db"
            },
            {
              "display_name": "Node.js Backend Developer",
              "id": 82,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "node-backend-developer",
              "source": "db"
            },
            {
              "display_name": "PHP Backend Developer",
              "id": 86,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "php-backend-developer",
              "source": "db"
            },
            {
              "display_name": "Python Backend Developer",
              "id": 80,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "python-backend-developer",
              "source": "db"
            }
          ]
        }
      ],
      "input_skill": "Node.js",
      "matched_via": "alias",
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": null,
      "source_tag": "db",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [
        {
          "alias_text": "EKS",
          "alias_type": "CANONICAL",
          "id": 2577,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        }
      ],
      "canonical": {
        "category_id": 9,
        "display_name": "EKS",
        "id": 1622,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "PLATFORM",
        "slug": "eks",
        "sub_category_id": 927,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "dimensions": [
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Kubernetes for ML Workloads",
            "id": 47,
            "rationale": "Kubernetes-native components used to schedule, accelerate, and isolate ML training and serving workloads. This includes GPU enablement and ML-specific controllers rather than generic cluster administration.",
            "slug": "kubernetes-for-ml-workloads",
            "source": "db"
          },
          "input_skill": "EKS",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "ML Engineer",
              "id": 3,
              "rationale": null,
              "role_archetype": null,
              "slug": "ml-engineer",
              "source": "db"
            },
            {
              "display_name": "MLOps Engineer",
              "id": 16,
              "rationale": null,
              "role_archetype": null,
              "slug": "ml-ops-engineer",
              "source": "db"
            }
          ]
        }
      ],
      "input_skill": "EKS",
      "matched_via": "alias",
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": null,
      "source_tag": "db",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [
        {
          "alias_text": "AWS Amplify",
          "alias_type": "CANONICAL",
          "id": 3389,
          "is_primary": true,
          "match_strategy": "CASE_INSENSITIVE"
        }
      ],
      "canonical": {
        "category_id": 9,
        "display_name": "AWS Amplify",
        "id": 2186,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "PLATFORM",
        "slug": "aws-amplify",
        "sub_category_id": 3372,
        "typical_lifespan": "EVERGREEN",
        "volatility": "EMERGING"
      },
      "dimensions": [
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Cloud Hosting and Deployment Platforms for Web Applications",
            "id": 301,
            "rationale": "Configuring, deploying, and managing web applications on vendor-specific cloud hosting, serverless, and deployment platforms. Includes services such as AWS Amplify, Firebase Hosting, Netlify, Vercel, Heroku, and GitHub Pages, as well as related platform-specific deployment and scaling workflows. Excludes build tooling and bundlers such as Webpack, Rollup, and Vite.",
            "slug": "cloud-hosting-and-deployment-platforms-for-web-applications",
            "source": "db"
          },
          "input_skill": "AWS Amplify",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "Angular Frontend Developer",
              "id": 90,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "angular-frontend-developer",
              "source": "db"
            },
            {
              "display_name": "React Frontend Developer",
              "id": 89,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "react-frontend-developer",
              "source": "db"
            },
            {
              "display_name": "Svelte Frontend Developer",
              "id": 92,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "svelte-frontend-developer",
              "source": "db"
            },
            {
              "display_name": "Vue Frontend Developer",
              "id": 91,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "vue-frontend-developer",
              "source": "db"
            }
          ]
        },
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Cloud Platforms \u0026 Hosting Providers",
            "id": 278,
            "rationale": "Familiarity with vendor-specific hosting and backend services for deploying and scaling web applications.",
            "slug": "cloud-platforms-hosting-providers",
            "source": "db"
          },
          "input_skill": "AWS Amplify",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": ".NET Backend Developer",
              "id": 83,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "dotnet-backend-developer",
              "source": "db"
            },
            {
              "display_name": "Kotlin Backend Developer",
              "id": 84,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "kotlin-server-backend-developer",
              "source": "db"
            },
            {
              "display_name": "Scala Backend Developer",
              "id": 87,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "scala-backend-developer",
              "source": "db"
            },
            {
              "display_name": "Web Developer",
              "id": 25,
              "rationale": null,
              "role_archetype": null,
              "slug": "web-developer",
              "source": "db"
            }
          ]
        },
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Mobile Vendor Product Families",
            "id": 321,
            "rationale": "Integration and configuration of major vendor-provided mobile backend and service SDKs",
            "slug": "mobile-vendor-product-families",
            "source": "db"
          },
          "input_skill": "AWS Amplify",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "React Native Developer",
              "id": 73,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "react-native-developer",
              "source": "db"
            }
          ]
        }
      ],
      "input_skill": "AWS Amplify",
      "matched_via": "alias",
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": null,
      "source_tag": "db",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "Artifactory",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Package Management Tools",
          "skill_nature": "TOOL",
          "sub_category": "general",
          "typical_lifespan": "MULTI_YEAR",
          "version_strategy": "UNVERSIONED",
          "volatility": "MEDIUM"
        },
        "enrichment": null,
        "keep_log": [],
        "locked_dimensions": [],
        "merge_log": [],
        "placed": null,
        "relationships": null,
        "skill_id": "artifactory",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "SonarQube",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Code Quality Tools",
          "skill_nature": "TOOL",
          "sub_category": "general",
          "typical_lifespan": "MULTI_YEAR",
          "version_strategy": "UNVERSIONED",
          "volatility": "MEDIUM"
        },
        "enrichment": null,
        "keep_log": [],
        "locked_dimensions": [],
        "merge_log": [],
        "placed": null,
        "relationships": null,
        "skill_id": "sonarqube",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [
        {
          "alias_text": "dbt",
          "alias_type": "CANONICAL",
          "id": 309,
          "is_primary": true,
          "match_strategy": "CASE_INSENSITIVE"
        }
      ],
      "canonical": {
        "category_id": 5,
        "display_name": "dbt",
        "id": 115,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "FRAMEWORK",
        "slug": "dbt",
        "sub_category_id": 89,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "dimensions": [
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "ETL and ELT Tooling",
            "id": 24,
            "rationale": "Packaged tools for extracting, loading, and transforming data across systems. This dimension covers connector-based ingestion, transformation frameworks, and managed integration products.",
            "slug": "etl-and-elt-tooling",
            "source": "db"
          },
          "input_skill": "dbt",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "Data Engineer",
              "id": 2,
              "rationale": null,
              "role_archetype": null,
              "slug": "data-engineer",
              "source": "db"
            }
          ]
        }
      ],
      "input_skill": "dbt",
      "matched_via": "alias",
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": null,
      "source_tag": "db",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "Collibra",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Data Governance Tools",
          "skill_nature": "TOOL",
          "sub_category": "general",
          "typical_lifespan": "MULTI_YEAR",
          "version_strategy": "UNVERSIONED",
          "volatility": "MEDIUM"
        },
        "enrichment": null,
        "keep_log": [],
        "locked_dimensions": [],
        "merge_log": [],
        "placed": null,
        "relationships": null,
        "skill_id": "collibra",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [
        {
          "alias_text": "Monte Carlo",
          "alias_type": "CANONICAL",
          "id": 336,
          "is_primary": true,
          "match_strategy": "CASE_INSENSITIVE"
        }
      ],
      "canonical": {
        "category_id": 9,
        "display_name": "Monte Carlo",
        "id": 132,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "PLATFORM",
        "slug": "monte-carlo",
        "sub_category_id": 115,
        "typical_lifespan": "EVERGREEN",
        "volatility": "EMERGING"
      },
      "dimensions": [
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Data Quality and Reconciliation",
            "id": 27,
            "rationale": "Validation and reconciliation practices that ensure data is accurate, complete, and trustworthy. This includes rule-based checks, anomaly detection, cross-system reconciliation, and failure triage.",
            "slug": "data-quality-and-reconciliation",
            "source": "db"
          },
          "input_skill": "Monte Carlo",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "Data Engineer",
              "id": 2,
              "rationale": null,
              "role_archetype": null,
              "slug": "data-engineer",
              "source": "db"
            }
          ]
        }
      ],
      "input_skill": "Monte Carlo",
      "matched_via": "alias",
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": null,
      "source_tag": "db",
      "was_in_llm_skills": true
    }
  ],
  "unmatched_skills": [
    "Linux",
    "Jira",
    "Artifactory",
    "SonarQube",
    "Collibra"
  ]
}
API 3 — final-role-output
{
  "chosen_role": {
    "display_name": "DataOps Engineer",
    "id": 145,
    "rationale": "Domain=Data Engineering \u0026 Analytics; The JD centers on strategic data platform roadmaps, automation, data workflows, and CloudOps/DevOps/DataOps ownership, which most directly matches DataOps Engineer.",
    "role_archetype": null,
    "slug": "dataops-engineer",
    "source": "db"
  },
  "chosen_role_resolution": "in_db",
  "final_input_skills": [
    {
      "skill": "AWS",
      "tag": "in_db"
    },
    {
      "skill": "Azure",
      "tag": "in_db"
    },
    {
      "skill": "Google Cloud",
      "tag": "in_db"
    },
    {
      "skill": "Python",
      "tag": "in_db"
    },
    {
      "skill": "Terraform",
      "tag": "in_db"
    },
    {
      "skill": "GitHub Actions",
      "tag": "in_db"
    },
    {
      "skill": "Linux",
      "tag": "new"
    },
    {
      "skill": "Agile",
      "tag": "in_db"
    },
    {
      "skill": "Snowflake",
      "tag": "in_db"
    },
    {
      "skill": "Docker",
      "tag": "in_db"
    },
    {
      "skill": "Jira",
      "tag": "new"
    },
    {
      "skill": "Node.js",
      "tag": "in_db"
    },
    {
      "skill": "EKS",
      "tag": "in_db"
    },
    {
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          "slug": "cloud-security-scripting-dsl-languages",
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          {
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          {
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          {
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          },
          {
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      {
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          {
            "display_name": "Engineering Manager",
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          "source": "db"
        },
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        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
        "role_dimension_saved": false,
        "roles_from_db": [
          {
            "display_name": "Cyber Security Engineer",
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        ],
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      {
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          "rationale": "Languages used to implement data pipelines, transformations, and operational glue. This is the primary coding surface for building ingestion, enrichment, and automation logic in data engineering.",
          "slug": "programming-languages-for-data-work",
          "source": "db"
        },
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        "matched_chosen_role": false,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
        "role_dimension_saved": false,
        "roles_from_db": [
          {
            "display_name": "Data Engineer",
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          }
        ],
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        "skipped_reason": null
      },
      {
        "chosen_role_id": 145,
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          "difficulty_hint": "well_known",
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          "source": "db"
        },
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        "role_dimension_saved": false,
        "roles_from_db": [
          {
            "display_name": "ML Engineer",
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          {
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        ],
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          "source": "db"
        },
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        "input_skill": "Python",
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        "roles_from_db": [
          {
            "display_name": "AR/VR Engineer",
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            "rationale": null,
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        ],
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          "source": "db"
        },
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        "input_skill": "Python",
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        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
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        "roles_from_db": [
          {
            "display_name": "Python Backend Developer",
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            "rationale": null,
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          }
        ],
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      {
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          "source": "db"
        },
        "dimension_id": 249,
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        "matched_chosen_role": false,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
        "role_dimension_saved": false,
        "roles_from_db": [
          {
            "display_name": "Cloud Security Engineer",
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            "rationale": null,
            "role_archetype": null,
            "slug": "cloud-security-engineer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 286,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 145,
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          "difficulty_hint": "well_known",
          "display_name": "Infrastructure as Code",
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          "rationale": "Declarative provisioning and environment definition tools used to codify cloud infrastructure, repeatable environments, and platform standards. Cloud Architects use these to express reference architectures and guardrails.",
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          "source": "db"
        },
        "dimension_id": 132,
        "input_skill": "Terraform",
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        "matched_chosen_role": false,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
        "role_dimension_saved": false,
        "roles_from_db": [
          {
            "display_name": "Cloud Architect",
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            "slug": "cloud-architect",
            "source": "db"
          },
          {
            "display_name": "DevOps Engineer",
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            "role_archetype": null,
            "slug": "devops-engineer",
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          }
        ],
        "skill_dimension_saved": true,
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      },
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          "difficulty_hint": "well_known",
          "display_name": "Infrastructure as Code for ML",
          "id": 57,
          "rationale": "Tools for provisioning and managing ML infrastructure resources through code.",
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          "source": "db"
        },
        "dimension_id": 57,
        "input_skill": "Terraform",
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        "matched_chosen_role": false,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
        "role_dimension_saved": false,
        "roles_from_db": [
          {
            "display_name": "ML Engineer",
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            "rationale": null,
            "role_archetype": null,
            "slug": "ml-engineer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 286,
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        "skipped_reason": null
      },
      {
        "chosen_role_id": 145,
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          "difficulty_hint": "well_known",
          "display_name": "CI/CD Pipeline Platforms",
          "id": 150,
          "rationale": "Systems used to define, run, and maintain automated build and deployment workflows. This cluster is coherent because the role owns delivery automation end to end, including pipeline reliability and promotion logic.",
          "slug": "ci-cd-pipeline-platforms",
          "source": "db"
        },
        "dimension_id": 150,
        "input_skill": "GitHub Actions",
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        "matched_chosen_role": false,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
        "role_dimension_saved": false,
        "roles_from_db": [
          {
            "display_name": "DevOps Engineer",
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            "rationale": null,
            "role_archetype": null,
            "slug": "devops-engineer",
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          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 281,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 145,
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          "difficulty_hint": "well_known",
          "display_name": "CI/CD for Machine Learning",
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          "rationale": "Tools and platforms for automating ML model integration, testing, and deployment pipelines.",
          "slug": "ci-cd-for-machine-learning",
          "source": "db"
        },
        "dimension_id": 56,
        "input_skill": "GitHub Actions",
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        "matched_chosen_role": false,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
        "role_dimension_saved": false,
        "roles_from_db": [
          {
            "display_name": "ML Engineer",
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            "rationale": null,
            "role_archetype": null,
            "slug": "ml-engineer",
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          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 281,
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        "skipped_reason": null
      },
      {
        "chosen_role_id": 145,
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          "rationale": "Building interactive web user interfaces with React.js, including component composition, state management, hooks, and rendering patterns. React.js belongs here because it is a core library for client-side UI development in modern web applications.",
          "slug": "d_init_01",
          "source": "db"
        },
        "dimension_id": 96,
        "input_skill": "Agile",
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        "matched_chosen_role": false,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
        "role_dimension_saved": false,
        "roles_from_db": [],
        "skill_dimension_saved": true,
        "skill_id": 520,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 145,
        "dimension": {
          "difficulty_hint": "well_known",
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          "rationale": "Champion foundational software design patterns, development methodologies, and engineering best practices.",
          "slug": "software-concepts-patterns-practices",
          "source": "db"
        },
        "dimension_id": 478,
        "input_skill": "Agile",
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        "matched_chosen_role": false,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
        "role_dimension_saved": false,
        "roles_from_db": [
          {
            "display_name": "Engineering Manager",
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            "slug": "engineering-manager",
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        ],
        "skill_dimension_saved": true,
        "skill_id": 520,
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        "skipped_reason": null
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      {
        "chosen_role_id": 145,
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          "difficulty_hint": "well_known",
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          "source": "db"
        },
        "dimension_id": 22,
        "input_skill": "Snowflake",
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        "matched_chosen_role": false,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
        "role_dimension_saved": false,
        "roles_from_db": [
          {
            "display_name": "Data Engineer",
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            "rationale": null,
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            "slug": "data-engineer",
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          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 105,
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      },
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          "slug": "containerization-and-image-builds",
          "source": "db"
        },
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        "input_skill": "Docker",
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        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
        "role_dimension_saved": false,
        "roles_from_db": [
          {
            "display_name": "DevOps Engineer",
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          }
        ],
        "skill_dimension_saved": true,
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          "rationale": "Platform-as-a-Service and container environments for deploying Ruby applications.",
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          "source": "db"
        },
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        "matched_chosen_role": false,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
        "role_dimension_saved": false,
        "roles_from_db": [
          {
            "display_name": "Ruby Backend Developer",
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            "rationale": null,
            "role_archetype": "Engineering",
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          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 61,
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        "skipped_reason": null
      },
      {
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          "difficulty_hint": "well_known",
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          "rationale": "Configuration and release artifacts that control how backend services run in environments. Includes environment variables, manifests, feature flags, and release-safe configuration management.",
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          "source": "db"
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        "matched_chosen_role": false,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
        "role_dimension_saved": false,
        "roles_from_db": [
          {
            "display_name": ".NET Backend Developer",
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            "role_archetype": "Engineering",
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          },
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            "display_name": "Go Backend Developer",
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            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "go-backend-developer",
            "source": "db"
          },
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            "display_name": "PHP Backend Developer",
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            "rationale": null,
            "role_archetype": "Engineering",
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            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
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        "skipped_reason": null
      },
      {
        "chosen_role_id": 145,
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          "difficulty_hint": "well_known",
          "display_name": "JavaScript and TypeScript",
          "id": 114,
          "rationale": "Primary implementation languages for browser client code, UI logic, and shared frontend utilities. These languages are the main coding surface for building interactive web experiences in this role.",
          "slug": "javascript-and-typescript",
          "source": "db"
        },
        "dimension_id": 114,
        "input_skill": "Node.js",
        "llm_role": null,
        "matched_chosen_role": false,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
        "role_dimension_saved": false,
        "roles_from_db": [
          {
            "display_name": "Angular Frontend Developer",
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            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "angular-frontend-developer",
            "source": "db"
          },
          {
            "display_name": "Frontend Developer",
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            "rationale": null,
            "role_archetype": null,
            "slug": "frontend-engineer",
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          },
          {
            "display_name": "Ionic Developer",
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            "rationale": null,
            "role_archetype": null,
            "slug": "ionic-developer",
            "source": "db"
          },
          {
            "display_name": "Node.js Backend Developer",
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            "rationale": null,
            "role_archetype": "Engineering",
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            "source": "db"
          },
          {
            "display_name": "React Frontend Developer",
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}

LLM Calls

Every model call made for this run, in pipeline order. Click a card to see the model's response.

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