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Pipeline run

e3fdf4d4-a87c-49b3-a424-a69ee7e1d227

Pipeline LLM cost (USD)
API 1: $0.0079 API 2: $0.0003 API 3: $0.0000 Total: $0.0082

Client output enrichment

v2 Skill cluster · Nature of work · AI index · Tech stack maturity · Evidence · KRA description
role baseline loaded sources · ai_index: jd · nature_of_work: jd · tech_stack_maturity: jd
Nature of work · Data access and persistence
Executes backend ETL/data testing across parallel projects: designs test strategies, builds test data and scripts, validates source-to-target mappings/data flows in Informatica/SQL/Oracle/MongoDB, and tracks defects/risks to resolution.
""Define and execute backend software testing.""
Tech stack maturity
Mainstream Legacy
The combination of Informatica, MongoDB, and SQL suggests a traditional enterprise backend/data integration profile centered on established technologies rather than cloud-native or bleeding-edge tooling.
AI index (0 = no AI use, 5 = totally AI-dependent · v2.1)
0.00 / 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):
Evidence — skills matched in JD (12)
Informatica SQL Oracle MongoDB UNIX Python MarkLogic Elastic Autosys Agile Waterfall ETL
Skill cluster (3 dimension groups, role-scoped)
NoSQL Databases
MongoDB
Programming Languages
Python
Cross-cutting / unaligned
Informatica SQL Oracle UNIX MarkLogic Elastic Autosys Agile Waterfall ETL
Show KRA description ↓
Support multiple parallel projects in a dynamic, fast‑paced environment. Develop and execute testing strategies aligned with Agile and Waterfall methodologies. Collaborate with development and internal teams to troubleshoot and resolve issues. Identify risks early and ensure timely defect resolution. Ensure adherence to defined testing quality standards. Define and execute backend software testing. Prepare and maintain testing reports. Create and manage test data for positive and negative test scenarios. Analyze source‑to‑target mappings and backend data flows. Strong verbal and written communication skills to clearly document and communicate testing issues. Ability to manage multiple competing priorities in a rapidly changing environment. Hands‑on experience with Informatica ETL workflow development, design, and testing. End‑to‑end understanding of the Software Development and Testing Life Cycle. Strong expertise in databases and data warehouses with the ability to derive meaningful insights from raw data. Experience reviewing requirements and project documentation to design effective testing strategies. Proficiency in designing, developing, maintaining, and analyzing test scripts. Working knowledge of defect management processes, risk frameworks, mitigation, and enterprise testing standards. Strong understanding of backend testing with focus on data validation and quality. Exposure to the banking domain, particularly treasury and payment systems. Experience working in Onshore/Offshore delivery models. Strong analytical and problem‑solving skills. Highly motivated, self‑driven, and able to work independently. Willingness to learn new technologies and adapt to change. Primary Skills Informatica SQL Oracle MongoDB Secondary Skills UNIX Python MarkLogic Elastic Tertiary Skills Autosys ETL,Informatica,Oracle PLSQL

Signals

Skill backend-engineer
0.50
Alias data-engineer
1.00
KRA dotnet-backend-developer
0.54

Post-classification

Centroidupdated · n=1800
Alias collision log
New-role queue
New skills captured7
New KRA capturedyes

Captured for admin review

Oracle primary Backend Developer pending
UNIX Backend Developer pending
MarkLogic Backend Developer pending
Elastic Backend Developer pending
Autosys Backend Developer pending
Waterfall Backend Developer pending
ETL Backend Developer pending
R&R fragment (sim 0.00) Backend Developer pending

Support multiple parallel projects in a dynamic, fast‑paced environment. Develop and execute testing strategies aligned with Agile and Waterfall methodologies. Collaborate with development and interna…

Status: completed Created: 2026-07-27T02:06:46.384855Z Updated: 2026-07-27T10:49:26.229413Z API 3 duration: 176 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

Backend Developer

CASE D

slug: backend-engineer · id: 1 · source: db

LLM2 picked backend-engineer (confidence 0.78)

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
0
Skipped

Job description

We are looking for an experienced ETL Developer who can work independently and support multiple parallel projects in a fast‑paced environment. The role involves developing and executing testing strategies, collaborating closely with development and internal teams, identifying risks, resolving defects, and ensuring high standards of testing quality across Agile and Waterfall methodologies.

Key Responsibilities

Support multiple parallel projects in a dynamic, fast‑paced environment.
Develop and execute testing strategies aligned with Agile and Waterfall methodologies.
Collaborate with development and internal teams to troubleshoot and resolve issues.
Identify risks early and ensure timely defect resolution.
Ensure adherence to defined testing quality standards.
Define and execute backend software testing.
Prepare and maintain testing reports.
Create and manage test data for positive and negative test scenarios.
Analyze source‑to‑target mappings and backend data flows.

General Skills & Competencies

Strong verbal and written communication skills to clearly document and communicate testing issues.
Ability to manage multiple competing priorities in a rapidly changing environment.
Hands‑on experience with Informatica ETL workflow development, design, and testing.
End‑to‑end understanding of the Software Development and Testing Life Cycle.
Strong expertise in databases and data warehouses with the ability to derive meaningful insights from raw data.
Experience reviewing requirements and project documentation to design effective testing strategies.
Proficiency in designing, developing, maintaining, and analyzing test scripts.
Working knowledge of defect management processes, risk frameworks, mitigation, and enterprise testing standards.
Strong understanding of backend testing with focus on data validation and quality.
Exposure to the banking domain, particularly treasury and payment systems.
Experience working in Onshore/Offshore delivery models.
Strong analytical and problem‑solving skills.
Highly motivated, self‑driven, and able to work independently.
Willingness to learn new technologies and adapt to change.

Technical Skills

Primary Skills

Informatica
SQL
Oracle
MongoDB

Secondary Skills

UNIX
Python
MarkLogic
Elastic

Tertiary Skills

Autosys

ETL,Informatica,Oracle PLSQL

Key Responsibilities

Support multiple parallel projects in a dynamic, fast‑paced environment.
Develop and execute testing strategies aligned with Agile and Waterfall methodologies.
Collaborate with development and internal teams to troubleshoot and resolve issues.
Identify risks early and ensure timely defect resolution.
Ensure adherence to defined testing quality standards.
Define and execute backend software testing.
Prepare and maintain testing reports.
Create and manage test data for positive and negative test scenarios.
Analyze source‑to‑target mappings and backend data flows.

General Skills & Competencies

Strong verbal and written communication skills to clearly document and communicate testing issues.
Ability to manage multiple competing priorities in a rapidly changing environment.
Hands‑on experience with Informatica ETL workflow development, design, and testing.
End‑to‑end understanding of the Software Development and Testing Life Cycle.
Strong expertise in databases and data warehouses with the ability to derive meaningful insights from raw data.
Experience reviewing requirements and project documentation to design effective testing strategies.
Proficiency in designing, developing, maintaining, and analyzing test scripts.
Working knowledge of defect management processes, risk frameworks, mitigation, and enterprise testing standards.
Strong understanding of backend testing with focus on data validation and quality.
Exposure to the banking domain, particularly treasury and payment systems.
Experience working in Onshore/Offshore delivery models.
Strong analytical and problem‑solving skills.
Highly motivated, self‑driven, and able to work independently.
Willingness to learn new technologies and adapt to change.

Technical Skills

Primary Skills

Informatica
SQL
Oracle
MongoDB

Secondary Skills

UNIX
Python
MarkLogic
Elastic

Tertiary Skills

Autosys

Skills from this JD

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

Informatica Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Informatica id=117 · informatica

Aliases — catalog

  • Informatica (CANONICAL) primary

Context tags (catalog)

CDC Cloud Data Integration ELT ETL IICS PowerCenter data integration data quality data warehousing lookup transformation mapping repository session source qualifier workflow

Stored enrichment (catalog DB)

Category
Platform
Sub-category
Data Integration Platform
Vendor
Informatica
License
proprietary
Year introduced
1993
Confidence
0.90
Version strategy
NOT_APPLICABLE

Maturity reasoning: Informatica appears frequently in enterprise data-integration and ETL job postings, especially alongside cloud migration and MDM roles; it remains a common hiring keyword rather than a sunset technology.

Skill profile (library / DB)

Skill nature
PLATFORM
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
9
Sub-category id
114
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)
SQL Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: SQL id=101 · sql

Aliases — catalog

  • SQL (CANONICAL) primary

Context tags (catalog)

ACID CTE DDL DML ETL JOIN MySQL NoSQL OLAP ORM PostgreSQL SQL injection SQLite T-SQL data modeling data warehousing database normalization execution plan indexing joins normalization query optimization stored procedures subquery transaction isolation transaction management window functions

Stored enrichment (catalog DB)

Category
Language
Sub-category
Query Language
Vendor
ISO/IEC
License
unknown
Year introduced
1986
Confidence
0.99
Version strategy
NOT_APPLICABLE

Maturity reasoning: SQL is a hiring-pipeline staple across data, backend, and analytics roles; it appears in a very high volume of job descriptions and remains the standard query language for relational databases.

Skill profile (library / DB)

Skill nature
LANGUAGE
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
6
Sub-category id
97
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Pega Programming Languages & DSLs Catalog dimension db id 267

    Library dimension (catalog)

    Roles linked in library: Pega Developer

  • Programming Languages Catalog dimension db id 1

    Library dimension (catalog)

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

  • Programming Languages & DSLs Catalog dimension db id 475

    Library dimension (catalog)

    Roles linked in library: Engineering Manager

  • Programming Languages for Data Work Catalog dimension db id 21

    Library dimension (catalog)

    Roles linked in library: Data Engineer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Pega Programming Languages & DSLs
pega-programming-languages-dsls
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Programming Languages
programming-languages
Existing dimension (library) · Role↔dimension saved
Programming Languages & DSLs
programming-languages-dsls
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)
Oracle 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
Databases
Sub-category
general
Skill nature
TOOL
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
MongoDB Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: MongoDB id=91 · mongodb

Aliases — catalog

  • MongoDB (CANONICAL) primary
  • MongoDB 2.0 (VERSION)
  • MongoDB 2.2 (VERSION)
  • MongoDB 2.4 (VERSION)
  • MongoDB 2.6 (VERSION)
  • MongoDB 3.0 (VERSION)
  • MongoDB 3.2 (VERSION)
  • MongoDB 3.4 (VERSION)
  • MongoDB 3.6 (VERSION)
  • MongoDB 4 (VERSION)
  • MongoDB 4.0 (VERSION)
  • MongoDB 4.2 (VERSION)
  • MongoDB 4.4 (VERSION)
  • MongoDB 5 (VERSION)
  • MongoDB 5.0 (VERSION)
  • MongoDB 6 (VERSION)
  • MongoDB 6.0 (VERSION)
  • MongoDB 7 (VERSION)
  • MongoDB 7.0 (VERSION)
  • MongoDB 8 (VERSION)
  • MongoDB 8.0 (VERSION)

Context tags (catalog)

BSON CRUD GridFS MongoDB Atlas Mongoose NoSQL TTL index aggregation pipeline change streams collections documents indexes replica set sharding

Stored enrichment (catalog DB)

Category
Datastore
Sub-category
Document Database
Vendor
MongoDB, Inc.
License
other_open
Year introduced
2009
Confidence
0.99
Version strategy
SEPARATE_ENTITY
Version tag
8.0

Maturity reasoning: MongoDB appears in many job descriptions across backend/data roles and is a standard document database in modern stacks; strong GitHub/community activity and broad cloud vendor support indicate mainstream adoption.

Skill profile (library / DB)

Skill nature
TOOL
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
3
Sub-category id
27
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • NoSQL Databases Catalog dimension db id 19

    Library dimension (catalog)

    Roles linked in library: Backend Developer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
NoSQL Databases
nosql-databases
Existing dimension (library) · Role↔dimension saved
UNIX Secondary 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
CONCEPT
Volatility
STABLE
Typical lifespan
EVERGREEN
Version strategy
UNVERSIONED
Python Secondary 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, WordPress Dev

  • 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: Distributed Systems Engineer, 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 saved
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)
MarkLogic Secondary 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
Databases
Sub-category
general
Skill nature
TOOL
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Elastic Secondary 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
Search Engines
Sub-category
general
Skill nature
TOOL
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Autosys Secondary 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
Job Scheduling Tools
Sub-category
general
Skill nature
TOOL
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Agile Secondary 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)
Waterfall Secondary 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
Sub-category
general
Skill nature
PRACTICE
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
ETL Secondary 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 Engineering Tools
Sub-category
general
Skill nature
CONCEPT
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED

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
Informatica in_db
ETL and ELT Tooling
etl-and-elt-tooling
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
SQL in_db
Pega Programming Languages & DSLs
pega-programming-languages-dsls
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
SQL in_db
Programming Languages
programming-languages
Existing dimension (library) · Role↔dimension saved
SQL in_db
Programming Languages & DSLs
programming-languages-dsls
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
SQL in_db
Programming Languages for Data Work
programming-languages-for-data-work
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
MongoDB in_db
NoSQL Databases
nosql-databases
Existing dimension (library) · Role↔dimension saved
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 saved
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)
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)

Library artifacts (this run)

Kind Detail DB id
canonical_skill_proposed Oracle | type=Databases subtype=general nature=TOOL lifespan=MULTI_YEAR
canonical_skill_proposed UNIX | type=Operating Systems subtype=general nature=CONCEPT lifespan=EVERGREEN
canonical_skill_proposed MarkLogic | type=Databases subtype=general nature=TOOL lifespan=MULTI_YEAR
canonical_skill_proposed Elastic | type=Search Engines subtype=general nature=TOOL lifespan=MULTI_YEAR
canonical_skill_proposed Autosys | type=Job Scheduling Tools subtype=general nature=TOOL lifespan=MULTI_YEAR
canonical_skill_proposed Waterfall | type=Project Management subtype=general nature=PRACTICE lifespan=MULTI_YEAR
canonical_skill_proposed ETL | type=Data Engineering Tools subtype=general nature=CONCEPT lifespan=MULTI_YEAR
nano JD Parser — gpt-4.1-nano click to toggle
RoleETL Developer
DomainOther
JD type pass
Show raw JSON
{
  "JD_type": "pass",
  "about_company": null,
  "ai_kras": [],
  "certifications": [],
  "client_details": null,
  "company_name": null,
  "company_size": null,
  "ctc": null,
  "domain": {
    "primary": {
      "aliases": [],
      "domain": "Other"
    },
    "secondary": null
  },
  "education": [],
  "experience": null,
  "job_locations": [],
  "notice_period": {
    "days": null,
    "raw": null
  },
  "open_to_relocate": false,
  "role": "ETL Developer",
  "role_aliases": [
    {
      "name": "ETL Developer",
      "reasoning": "generalized form of the picked role",
      "relation": "synonym"
    },
    {
      "name": "Data Engineer",
      "reasoning": "common industry alt for the same archetype",
      "relation": "synonym"
    },
    {
      "name": "Informatica Developer",
      "reasoning": "role focuses on Informatica ETL development",
      "relation": "synonym"
    }
  ],
  "role_archetype": "Engineering",
  "roles_and_responsibilities": [
    {
      "bullet_count": 9,
      "heading": "Key Responsibilities",
      "heading_was_present": true,
      "source_marker": {
        "first_5_words": "Support multiple parallel projects in",
        "last_5_words": "mappings and backend data flows."
      },
      "text": "Support multiple parallel projects in a dynamic, fast\u2011paced environment.\nDevelop and execute testing strategies aligned with Agile and Waterfall methodologies.\nCollaborate with development and internal teams to troubleshoot and resolve issues.\nIdentify risks early and ensure timely defect resolution.\nEnsure adherence to defined testing quality standards.\nDefine and execute backend software testing.\nPrepare and maintain testing reports.\nCreate and manage test data for positive and negative test scenarios.\nAnalyze source\u2011to\u2011target mappings and backend data flows.",
      "word_count": 104
    },
    {
      "bullet_count": 13,
      "heading": "General Skills \u0026 Competencies",
      "heading_was_present": true,
      "source_marker": {
        "first_5_words": "Strong verbal and written communication",
        "last_5_words": "learn new technologies and adapt to change."
      },
      "text": "Strong verbal and written communication skills to clearly document and communicate testing issues.\nAbility to manage multiple competing priorities in a rapidly changing environment.\nHands\u2011on experience with Informatica ETL workflow development, design, and testing.\nEnd\u2011to\u2011end understanding of the Software Development and Testing Life Cycle.\nStrong expertise in databases and data warehouses with the ability to derive meaningful insights from raw data.\nExperience reviewing requirements and project documentation to design effective testing strategies.\nProficiency in designing, developing, maintaining, and analyzing test scripts.\nWorking knowledge of defect management processes, risk frameworks, mitigation, and enterprise testing standards.\nStrong understanding of backend testing with focus on data validation and quality.\nExposure to the banking domain, particularly treasury and payment systems.\nExperience working in Onshore/Offshore delivery models.\nStrong analytical and problem\u2011solving skills.\nHighly motivated, self\u2011driven, and able to work independently.\nWillingness to learn new technologies and adapt to change.",
      "word_count": 174
    },
    {
      "bullet_count": 8,
      "heading": "Technical Skills",
      "heading_was_present": true,
      "source_marker": {
        "first_5_words": "Primary Skills Informatica SQL Oracle",
        "last_5_words": "Informatica,Oracle PLSQL"
      },
      "text": "Primary Skills\nInformatica\nSQL\nOracle\nMongoDB\n\nSecondary Skills\nUNIX\nPython\nMarkLogic\nElastic\n\nTertiary Skills\nAutosys\n\nETL,Informatica,Oracle PLSQL",
      "word_count": 30
    }
  ],
  "urls": []
}
API 1 — extract-from-jd click to toggle
{
  "final_skills": [
    {
      "dimension": null,
      "is_primary": true,
      "layer": "L1",
      "layer_source": "promoted",
      "rationale": "The JD provides concrete evidence of hands-on experience with Informatica ETL workflow development, design, and testing, promoting it to L1.",
      "skill_name": "Informatica"
    },
    {
      "dimension": {
        "display_name": "Programming Languages",
        "id": 1,
        "slug": "programming-languages"
      },
      "is_primary": true,
      "layer": "L0",
      "layer_source": "baseline",
      "rationale": "Anchor dimension: Programming Languages",
      "skill_name": "SQL"
    },
    {
      "dimension": null,
      "is_primary": true,
      "layer": "L2",
      "layer_source": "llm",
      "rationale": "Oracle is a commonly used relational database technology, thus it is assigned to L2 as a plausible layer.",
      "skill_name": "Oracle"
    },
    {
      "dimension": {
        "display_name": "NoSQL Databases",
        "id": 19,
        "slug": "nosql-databases"
      },
      "is_primary": true,
      "layer": "L2",
      "layer_source": "baseline",
      "rationale": null,
      "skill_name": "MongoDB"
    },
    {
      "dimension": null,
      "is_primary": false,
      "layer": null,
      "layer_source": null,
      "rationale": null,
      "skill_name": "UNIX"
    },
    {
      "dimension": null,
      "is_primary": false,
      "layer": null,
      "layer_source": null,
      "rationale": null,
      "skill_name": "Python"
    },
    {
      "dimension": null,
      "is_primary": false,
      "layer": null,
      "layer_source": null,
      "rationale": null,
      "skill_name": "MarkLogic"
    },
    {
      "dimension": null,
      "is_primary": false,
      "layer": null,
      "layer_source": null,
      "rationale": null,
      "skill_name": "Elastic"
    },
    {
      "dimension": null,
      "is_primary": false,
      "layer": null,
      "layer_source": null,
      "rationale": null,
      "skill_name": "Autosys"
    },
    {
      "dimension": null,
      "is_primary": false,
      "layer": null,
      "layer_source": null,
      "rationale": null,
      "skill_name": "Agile"
    },
    {
      "dimension": null,
      "is_primary": false,
      "layer": null,
      "layer_source": null,
      "rationale": null,
      "skill_name": "Waterfall"
    },
    {
      "dimension": null,
      "is_primary": false,
      "layer": null,
      "layer_source": null,
      "rationale": null,
      "skill_name": "ETL"
    }
  ],
  "jd_parameters": {
    "certifications": [],
    "clientDetails": null,
    "company": null,
    "companySize": null,
    "ctc": {
      "currency": null,
      "max": null,
      "min": null,
      "period": null,
      "raw": null
    },
    "educationRequirements": [],
    "experience": {
      "max": null,
      "min": null,
      "raw": null
    },
    "industryDomain": "Other",
    "knockouts": {
      "certifications": [],
      "ctc": {
        "currency": null,
        "max": null,
        "min": null
      },
      "educationRequirements": [],
      "experience": {
        "max": null,
        "min": null
      },
      "location": [],
      "noticePeriod": null
    },
    "locations": [],
    "noticePeriod": null,
    "openToRelocate": false,
    "role": "ETL Developer",
    "roleSynonyms": [
      "ETL Developer",
      "Data Engineer",
      "Informatica Developer"
    ]
  },
  "jd_role": {
    "display_name": "ETL Developer",
    "rationale": null,
    "role_aliases": [
      "ETL Developer",
      "Data Engineer",
      "Informatica Developer"
    ],
    "role_archetype": "Engineering",
    "slug": ""
  },
  "nano_parsed": {
    "JD_type": "pass",
    "about_company": null,
    "ai_kras": [],
    "certifications": [],
    "client_details": null,
    "company_name": null,
    "company_size": null,
    "ctc": null,
    "domain": {
      "primary": {
        "aliases": [],
        "domain": "Other"
      },
      "secondary": null
    },
    "education": [],
    "experience": null,
    "job_locations": [],
    "notice_period": {
      "days": null,
      "raw": null
    },
    "open_to_relocate": false,
    "role": "ETL Developer",
    "role_aliases": [
      {
        "name": "ETL Developer",
        "reasoning": "generalized form of the picked role",
        "relation": "synonym"
      },
      {
        "name": "Data Engineer",
        "reasoning": "common industry alt for the same archetype",
        "relation": "synonym"
      },
      {
        "name": "Informatica Developer",
        "reasoning": "role focuses on Informatica ETL development",
        "relation": "synonym"
      }
    ],
    "role_archetype": "Engineering",
    "roles_and_responsibilities": [
      {
        "bullet_count": 9,
        "heading": "Key Responsibilities",
        "heading_was_present": true,
        "source_marker": {
          "first_5_words": "Support multiple parallel projects in",
          "last_5_words": "mappings and backend data flows."
        },
        "text": "Support multiple parallel projects in a dynamic, fast\u2011paced environment.\nDevelop and execute testing strategies aligned with Agile and Waterfall methodologies.\nCollaborate with development and internal teams to troubleshoot and resolve issues.\nIdentify risks early and ensure timely defect resolution.\nEnsure adherence to defined testing quality standards.\nDefine and execute backend software testing.\nPrepare and maintain testing reports.\nCreate and manage test data for positive and negative test scenarios.\nAnalyze source\u2011to\u2011target mappings and backend data flows.",
        "word_count": 104
      },
      {
        "bullet_count": 13,
        "heading": "General Skills \u0026 Competencies",
        "heading_was_present": true,
        "source_marker": {
          "first_5_words": "Strong verbal and written communication",
          "last_5_words": "learn new technologies and adapt to change."
        },
        "text": "Strong verbal and written communication skills to clearly document and communicate testing issues.\nAbility to manage multiple competing priorities in a rapidly changing environment.\nHands\u2011on experience with Informatica ETL workflow development, design, and testing.\nEnd\u2011to\u2011end understanding of the Software Development and Testing Life Cycle.\nStrong expertise in databases and data warehouses with the ability to derive meaningful insights from raw data.\nExperience reviewing requirements and project documentation to design effective testing strategies.\nProficiency in designing, developing, maintaining, and analyzing test scripts.\nWorking knowledge of defect management processes, risk frameworks, mitigation, and enterprise testing standards.\nStrong understanding of backend testing with focus on data validation and quality.\nExposure to the banking domain, particularly treasury and payment systems.\nExperience working in Onshore/Offshore delivery models.\nStrong analytical and problem\u2011solving skills.\nHighly motivated, self\u2011driven, and able to work independently.\nWillingness to learn new technologies and adapt to change.",
        "word_count": 174
      },
      {
        "bullet_count": 8,
        "heading": "Technical Skills",
        "heading_was_present": true,
        "source_marker": {
          "first_5_words": "Primary Skills Informatica SQL Oracle",
          "last_5_words": "Informatica,Oracle PLSQL"
        },
        "text": "Primary Skills\nInformatica\nSQL\nOracle\nMongoDB\n\nSecondary Skills\nUNIX\nPython\nMarkLogic\nElastic\n\nTertiary Skills\nAutosys\n\nETL,Informatica,Oracle PLSQL",
        "word_count": 30
      }
    ],
    "urls": []
  },
  "rejected": false,
  "rejection_reason": null,
  "role": {
    "anchor_type": "LANGUAGE",
    "display_name": "Backend Developer",
    "id": 1,
    "resolution": "in_db",
    "slug": "backend-engineer"
  },
  "run_id": "e3fdf4d4-a87c-49b3-a424-a69ee7e1d227",
  "secondary_skills": [
    "UNIX",
    "Python",
    "MarkLogic",
    "Elastic",
    "Autosys",
    "Agile",
    "Waterfall",
    "ETL"
  ],
  "skill_layers": [
    {
      "label": "Anchor",
      "layer": "L0",
      "skills": [
        {
          "dimension": {
            "display_name": "Programming Languages",
            "id": 1,
            "slug": "programming-languages"
          },
          "name": "SQL",
          "rationale": "Anchor dimension: Programming Languages"
        }
      ]
    },
    {
      "label": "Primary",
      "layer": "L1",
      "skills": [
        {
          "name": "Informatica",
          "rationale": "The JD provides concrete evidence of hands-on experience with Informatica ETL workflow development, design, and testing, promoting it to L1."
        }
      ]
    },
    {
      "label": "Environment",
      "layer": "L2",
      "skills": [
        {
          "dimension": {
            "display_name": "NoSQL Databases",
            "id": 19,
            "slug": "nosql-databases"
          },
          "name": "MongoDB"
        },
        {
          "name": "Oracle",
          "rationale": "Oracle is a commonly used relational database technology, thus it is assigned to L2 as a plausible layer."
        }
      ]
    }
  ],
  "stage3_signals": {
    "alias_found": true,
    "alias_match_roles": [
      {
        "display_name": "Data Engineer",
        "kra_matches": null,
        "matched_count": null,
        "matched_skills": null,
        "role_id": 2,
        "score": 1.0,
        "slug": "data-engineer",
        "total_count": null
      },
      {
        "display_name": "ETL / ELT Developer",
        "kra_matches": null,
        "matched_count": null,
        "matched_skills": null,
        "role_id": 50,
        "score": 1.0,
        "slug": "etl-elt-developer",
        "total_count": null
      }
    ],
    "kra_match_roles": [
      {
        "display_name": ".NET Backend Developer",
        "kra_matches": [
          {
            "kra_text": "defect investigation and resolution",
            "sentence": "Identify risks early and ensure timely defect resolution.",
            "similarity": 0.5802
          },
          {
            "kra_text": "automated backend checks",
            "sentence": "Define and execute backend software testing.",
            "similarity": 0.5659
          },
          {
            "kra_text": "defect investigation and resolution",
            "sentence": "Collaborate with development and internal teams to troubleshoot and resolve issues.",
            "similarity": 0.4699
          }
        ],
        "matched_count": null,
        "matched_skills": null,
        "role_id": 83,
        "score": 0.5387,
        "slug": "dotnet-backend-developer",
        "total_count": null
      },
      {
        "display_name": "Python Backend Developer",
        "kra_matches": [
          {
            "kra_text": "Write backend-focused automated checks",
            "sentence": "Define and execute backend software testing.",
            "similarity": 0.6506
          },
          {
            "kra_text": "Support background jobs and async workflows",
            "sentence": "Support multiple parallel projects in a dynamic, fast\u2011paced environment.",
            "similarity": 0.497
          },
          {
            "kra_text": "Troubleshoot server-side defects",
            "sentence": "Collaborate with development and internal teams to troubleshoot and resolve issues.",
            "similarity": 0.4683
          }
        ],
        "matched_count": null,
        "matched_skills": null,
        "role_id": 80,
        "score": 0.5387,
        "slug": "python-backend-developer",
        "total_count": null
      },
      {
        "display_name": "Ruby Backend Developer",
        "kra_matches": [
          {
            "kra_text": "automated backend checks",
            "sentence": "Define and execute backend software testing.",
            "similarity": 0.5658
          },
          {
            "kra_text": "backend defect diagnosis and fixes",
            "sentence": "Identify risks early and ensure timely defect resolution.",
            "similarity": 0.5341
          },
          {
            "kra_text": "backend defect diagnosis and fixes",
            "sentence": "Collaborate with development and internal teams to troubleshoot and resolve issues.",
            "similarity": 0.4956
          }
        ],
        "matched_count": null,
        "matched_skills": null,
        "role_id": 85,
        "score": 0.5318,
        "slug": "ruby-backend-developer",
        "total_count": null
      },
      {
        "display_name": "PHP Backend Developer",
        "kra_matches": [
          {
            "kra_text": "automated backend regression checks",
            "sentence": "Define and execute backend software testing.",
            "similarity": 0.5828
          },
          {
            "kra_text": "defect diagnosis and remediation",
            "sentence": "Identify risks early and ensure timely defect resolution.",
            "similarity": 0.5541
          },
          {
            "kra_text": "automated backend regression checks",
            "sentence": "Ensure adherence to defined testing quality standards.",
            "similarity": 0.4382
          }
        ],
        "matched_count": null,
        "matched_skills": null,
        "role_id": 86,
        "score": 0.525,
        "slug": "php-backend-developer",
        "total_count": null
      },
      {
        "display_name": "Pega Developer",
        "kra_matches": [
          {
            "kra_text": "defect troubleshooting and resolution",
            "sentence": "Identify risks early and ensure timely defect resolution.",
            "similarity": 0.5741
          },
          {
            "kra_text": "defect troubleshooting and resolution",
            "sentence": "Collaborate with development and internal teams to troubleshoot and resolve issues.",
            "similarity": 0.5085
          },
          {
            "kra_text": "Requirements analysis and process translation",
            "sentence": "Analyze source\u2011to\u2011target mappings and backend data flows.",
            "similarity": 0.4856
          }
        ],
        "matched_count": null,
        "matched_skills": null,
        "role_id": 24,
        "score": 0.5227,
        "slug": "pega-developer",
        "total_count": null
      }
    ],
    "skill_match_roles": [
      {
        "display_name": "Backend Developer",
        "kra_matches": null,
        "matched_count": 2,
        "matched_skills": [
          "MongoDB",
          "SQL"
        ],
        "role_id": 1,
        "score": 0.5,
        "slug": "backend-engineer",
        "total_count": 4
      },
      {
        "display_name": "Data Engineer",
        "kra_matches": null,
        "matched_count": 2,
        "matched_skills": [
          "Informatica",
          "SQL"
        ],
        "role_id": 2,
        "score": 0.5,
        "slug": "data-engineer",
        "total_count": 4
      },
      {
        "display_name": "Fullstack Developer",
        "kra_matches": null,
        "matched_count": 1,
        "matched_skills": [
          "SQL"
        ],
        "role_id": 15,
        "score": 0.25,
        "slug": "full-stack-engineer",
        "total_count": 4
      },
      {
        "display_name": "Pega Developer",
        "kra_matches": null,
        "matched_count": 1,
        "matched_skills": [
          "SQL"
        ],
        "role_id": 24,
        "score": 0.25,
        "slug": "pega-developer",
        "total_count": 4
      },
      {
        "display_name": "Engineering Manager",
        "kra_matches": null,
        "matched_count": 1,
        "matched_skills": [
          "SQL"
        ],
        "role_id": 121,
        "score": 0.25,
        "slug": "engineering-manager",
        "total_count": 4
      }
    ]
  },
  "stage4_decision": {
    "alias_collision_detected": false,
    "case": "D",
    "chosen_role": {
      "display_name": "Backend Developer",
      "kra_matches": null,
      "matched_count": null,
      "matched_skills": null,
      "role_id": 1,
      "score": 0.5,
      "slug": "backend-engineer",
      "total_count": null
    },
    "confidence": 0.78,
    "consensus_evidence": {},
    "is_new_role": false,
    "llm2_fired": true,
    "llm2_reasoning": "The JD\u2019s focus on Informatica ETL workflow development and backend data validation aligns with a generic Backend Developer rather than a .NET-specific role.",
    "matched_dimensions": [],
    "matched_kras": [],
    "matched_skills": [],
    "new_role_display_name": null,
    "new_role_domain": null,
    "new_role_slug": null,
    "queued": false,
    "reasoning": "LLM2 picked backend-engineer (confidence 0.78)",
    "role_aliases": [],
    "sub_role": null
  },
  "stage5_updates": {
    "centroid_n_after": 1800,
    "centroid_updated": true,
    "collision_log_id": null,
    "new_kra_attached": {
      "best_kra_similarity": 0.0,
      "queue_id": 2059,
      "r_and_r_preview": "Support multiple parallel projects in a dynamic, fast\u2011paced environment.\nDevelop and execute testing strategies aligned with Agile and Waterfall methodologies.\nCollaborate with development and interna",
      "role_display_name": "Backend Developer",
      "role_slug": "backend-engineer",
      "status": "pending"
    },
    "new_skills_attached": [
      {
        "is_primary": true,
        "queue_id": 26273,
        "role_display_name": "Backend Developer",
        "role_slug": "backend-engineer",
        "skill_name": "Oracle",
        "status": "pending"
      },
      {
        "is_primary": false,
        "queue_id": 26274,
        "role_display_name": "Backend Developer",
        "role_slug": "backend-engineer",
        "skill_name": "UNIX",
        "status": "pending"
      },
      {
        "is_primary": false,
        "queue_id": 26275,
        "role_display_name": "Backend Developer",
        "role_slug": "backend-engineer",
        "skill_name": "MarkLogic",
        "status": "pending"
      },
      {
        "is_primary": false,
        "queue_id": 26276,
        "role_display_name": "Backend Developer",
        "role_slug": "backend-engineer",
        "skill_name": "Elastic",
        "status": "pending"
      },
      {
        "is_primary": false,
        "queue_id": 26277,
        "role_display_name": "Backend Developer",
        "role_slug": "backend-engineer",
        "skill_name": "Autosys",
        "status": "pending"
      },
      {
        "is_primary": false,
        "queue_id": 26278,
        "role_display_name": "Backend Developer",
        "role_slug": "backend-engineer",
        "skill_name": "Waterfall",
        "status": "pending"
      },
      {
        "is_primary": false,
        "queue_id": 26279,
        "role_display_name": "Backend Developer",
        "role_slug": "backend-engineer",
        "skill_name": "ETL",
        "status": "pending"
      }
    ],
    "queue_entry_id": null,
    "v3_pipeline_triggered": false,
    "v3_role_slug": null,
    "v3_run_id": null
  }
}
API 2 — extract-details
{
  "alias_matches": [
    {
      "alias_persist_skipped_reason": "alias_text already exists for this canonical skill",
      "alias_persisted": false,
      "existing_alias_id": 311,
      "existing_alias_text": "Informatica",
      "input_term": "Informatica",
      "matched_canonical": {
        "category_id": 9,
        "display_name": "Informatica",
        "id": 117,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "PLATFORM",
        "slug": "informatica",
        "sub_category_id": 114,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "matched_via": "alias"
    },
    {
      "alias_persist_skipped_reason": "alias_text already exists for this canonical skill",
      "alias_persisted": false,
      "existing_alias_id": 271,
      "existing_alias_text": "SQL",
      "input_term": "SQL",
      "matched_canonical": {
        "category_id": 6,
        "display_name": "SQL",
        "id": 101,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "LANGUAGE",
        "slug": "sql",
        "sub_category_id": 97,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "matched_via": "alias"
    },
    {
      "alias_persist_skipped_reason": "alias_text already exists for this canonical skill",
      "alias_persisted": false,
      "existing_alias_id": 232,
      "existing_alias_text": "MongoDB",
      "input_term": "MongoDB",
      "matched_canonical": {
        "category_id": 3,
        "display_name": "MongoDB",
        "id": 91,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "TOOL",
        "slug": "mongodb",
        "sub_category_id": 27,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "matched_via": "alias"
    },
    {
      "alias_persist_skipped_reason": "alias_text already exists for this canonical skill",
      "alias_persisted": false,
      "existing_alias_id": 67,
      "existing_alias_text": "Python",
      "input_term": "Python",
      "matched_canonical": {
        "category_id": 6,
        "display_name": "Python",
        "id": 5,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "LANGUAGE",
        "slug": "python",
        "sub_category_id": 96,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "matched_via": "alias"
    },
    {
      "alias_persist_skipped_reason": "alias_text already exists for this canonical skill",
      "alias_persisted": false,
      "existing_alias_id": 868,
      "existing_alias_text": "Agile",
      "input_term": "Agile",
      "matched_canonical": {
        "category_id": 8,
        "display_name": "Agile",
        "id": 520,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "METHODOLOGY",
        "slug": "agile",
        "sub_category_id": 3594,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "matched_via": "alias"
    }
  ],
  "candidate_roles": [
    {
      "display_name": "Data Engineer",
      "id": 2,
      "rationale": null,
      "role_archetype": null,
      "slug": "data-engineer",
      "source": "db"
    },
    {
      "display_name": "Pega Developer",
      "id": 24,
      "rationale": null,
      "role_archetype": null,
      "slug": "pega-developer",
      "source": "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": 435,
      "rationale": null,
      "role_archetype": "Engineering",
      "slug": "fullstack-developer",
      "source": "db"
    },
    {
      "display_name": "Fullstack Developer",
      "id": 15,
      "rationale": null,
      "role_archetype": null,
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          "id": 242,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "MongoDB 3.2",
          "alias_type": "VERSION",
          "id": 243,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "MongoDB 3.4",
          "alias_type": "VERSION",
          "id": 244,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "MongoDB 3.6",
          "alias_type": "VERSION",
          "id": 245,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "MongoDB 4",
          "alias_type": "VERSION",
          "id": 233,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "MongoDB 4.0",
          "alias_type": "VERSION",
          "id": 246,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "MongoDB 4.2",
          "alias_type": "VERSION",
          "id": 247,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "MongoDB 4.4",
          "alias_type": "VERSION",
          "id": 248,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "MongoDB 5",
          "alias_type": "VERSION",
          "id": 234,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "MongoDB 5.0",
          "alias_type": "VERSION",
          "id": 249,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "MongoDB 6",
          "alias_type": "VERSION",
          "id": 235,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "MongoDB 6.0",
          "alias_type": "VERSION",
          "id": 250,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "MongoDB 7",
          "alias_type": "VERSION",
          "id": 236,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "MongoDB 7.0",
          "alias_type": "VERSION",
          "id": 251,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "MongoDB 8",
          "alias_type": "VERSION",
          "id": 237,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "MongoDB 8.0",
          "alias_type": "VERSION",
          "id": 252,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        }
      ],
      "canonical": {
        "category_id": 3,
        "display_name": "MongoDB",
        "id": 91,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "TOOL",
        "slug": "mongodb",
        "sub_category_id": 27,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "dimensions": [
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "NoSQL Databases",
            "id": 19,
            "rationale": "Models and manages data using non-relational database systems.",
            "slug": "nosql-databases",
            "source": "db"
          },
          "input_skill": "MongoDB",
          "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"
            }
          ]
        }
      ],
      "input_skill": "MongoDB",
      "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": "UNIX",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Operating Systems",
          "skill_nature": "CONCEPT",
          "sub_category": "general",
          "typical_lifespan": "EVERGREEN",
          "version_strategy": "UNVERSIONED",
          "volatility": "STABLE"
        },
        "enrichment": null,
        "keep_log": [],
        "locked_dimensions": [],
        "merge_log": [],
        "placed": null,
        "relationships": null,
        "skill_id": "unix",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [
        {
          "alias_text": "Python",
          "alias_type": "CANONICAL",
          "id": 67,
          "is_primary": true,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "Python 2",
          "alias_type": "VERSION",
          "id": 72,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "Python 2.x",
          "alias_type": "VERSION",
          "id": 74,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "Python 3",
          "alias_type": "VERSION",
          "id": 73,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "Python 3.10",
          "alias_type": "VERSION",
          "id": 76,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "Python 3.11",
          "alias_type": "VERSION",
          "id": 77,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "Python 3.12",
          "alias_type": "VERSION",
          "id": 78,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "Python 3.x",
          "alias_type": "VERSION",
          "id": 75,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "py",
          "alias_type": "VERSION",
          "id": 2183,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "py2",
          "alias_type": "VERSION",
          "id": 68,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "py3",
          "alias_type": "VERSION",
          "id": 69,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "python 3",
          "alias_type": "VERSION",
          "id": 2186,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "python 3.x",
          "alias_type": "VERSION",
          "id": 2849,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "python2",
          "alias_type": "VERSION",
          "id": 70,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "python3",
          "alias_type": "VERSION",
          "id": 71,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "python3.x",
          "alias_type": "VERSION",
          "id": 2848,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        }
      ],
      "canonical": {
        "category_id": 6,
        "display_name": "Python",
        "id": 5,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "LANGUAGE",
        "slug": "python",
        "sub_category_id": 96,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "dimensions": [
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Cloud Security Scripting \u0026 DSL Languages",
            "id": 248,
            "rationale": "Proficiency in programming and domain-specific languages used to automate and script cloud security controls.",
            "slug": "cloud-security-scripting-dsl-languages",
            "source": "db"
          },
          "input_skill": "Python",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "Cloud Security Engineer",
              "id": 23,
              "rationale": null,
              "role_archetype": null,
              "slug": "cloud-security-engineer",
              "source": "db"
            }
          ]
        },
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Programming Languages",
            "id": 1,
            "rationale": "Core programming languages and markup used in WordPress development.",
            "slug": "programming-languages",
            "source": "db"
          },
          "input_skill": "Python",
          "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": 435,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "fullstack-developer",
              "source": "db"
            },
            {
              "display_name": "Fullstack Developer",
              "id": 15,
              "rationale": null,
              "role_archetype": null,
              "slug": "full-stack-engineer",
              "source": "db"
            },
            {
              "display_name": "WordPress Dev",
              "id": 227,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "wordpress-dev",
              "source": "db"
            }
          ]
        },
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Programming Languages \u0026 DSLs",
            "id": 475,
            "rationale": "Oversee and guide the selection and effective use of programming and domain\u2010specific languages in software projects.",
            "slug": "programming-languages-dsls",
            "source": "db"
          },
          "input_skill": "Python",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "Engineering Manager",
              "id": 121,
              "rationale": null,
              "role_archetype": null,
              "slug": "engineering-manager",
              "source": "db"
            }
          ]
        },
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Programming Languages and Scripting",
            "id": 59,
            "rationale": "Languages used to write security automation, analysis scripts, detection logic, and remediation helpers. This is the primary implementation surface for a cybersecurity engineer across tooling and response workflows.",
            "slug": "programming-languages-and-scripting",
            "source": "db"
          },
          "input_skill": "Python",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "Cyber Security Engineer",
              "id": 5,
              "rationale": null,
              "role_archetype": null,
              "slug": "cybersecurity-engineer",
              "source": "db"
            }
          ]
        },
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Programming Languages for Data Work",
            "id": 21,
            "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"
          },
          "input_skill": "Python",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "Data Engineer",
              "id": 2,
              "rationale": null,
              "role_archetype": null,
              "slug": "data-engineer",
              "source": "db"
            }
          ]
        },
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Programming Languages for ML Systems",
            "id": 39,
            "rationale": "Languages used to build training code, inference services, evaluation jobs, and ML glue code. This is the primary implementation surface for ML engineers across experimentation and productionization.",
            "slug": "programming-languages-for-ml-systems",
            "source": "db"
          },
          "input_skill": "Python",
          "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"
            }
          ]
        },
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Programming Languages for XR",
            "id": 97,
            "rationale": "Primary implementation languages used to build immersive client features, interaction logic, and device-specific runtime behavior. This is the core coding surface for AR/VR experiences.",
            "slug": "programming-languages-for-xr",
            "source": "db"
          },
          "input_skill": "Python",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "AR/VR Engineer",
              "id": 8,
              "rationale": null,
              "role_archetype": null,
              "slug": "ar-vr-engineer",
              "source": "db"
            }
          ]
        },
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Python Programming",
            "id": 290,
            "rationale": "Core Python language skills used to implement backend business logic, request handlers, integrations, and service internals. This is the primary coding surface for the role.",
            "slug": "python-programming",
            "source": "db"
          },
          "input_skill": "Python",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "Distributed Systems Engineer",
              "id": 465,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "distributed-systems-engineer",
              "source": "db"
            },
            {
              "display_name": "Python Backend Developer",
              "id": 80,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "python-backend-developer",
              "source": "db"
            }
          ]
        }
      ],
      "input_skill": "Python",
      "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": "MarkLogic",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Databases",
          "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": "marklogic",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "Elastic",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Search Engines",
          "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": "elastic",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "Autosys",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Job Scheduling 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": "autosys",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [
        {
          "alias_text": "Agile",
          "alias_type": "CANONICAL",
          "id": 868,
          "is_primary": true,
          "match_strategy": "CASE_INSENSITIVE"
        }
      ],
      "canonical": {
        "category_id": 8,
        "display_name": "Agile",
        "id": 520,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "METHODOLOGY",
        "slug": "agile",
        "sub_category_id": 3594,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "dimensions": [
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "React Frontend Development",
            "id": 96,
            "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"
          },
          "input_skill": "Agile",
          "llm_role": null,
          "roles_from_db": []
        },
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Software Concepts, Patterns \u0026 Practices",
            "id": 478,
            "rationale": "Champion foundational software design patterns, development methodologies, and engineering best practices.",
            "slug": "software-concepts-patterns-practices",
            "source": "db"
          },
          "input_skill": "Agile",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "Engineering Manager",
              "id": 121,
              "rationale": null,
              "role_archetype": null,
              "slug": "engineering-manager",
              "source": "db"
            }
          ]
        }
      ],
      "input_skill": "Agile",
      "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": "Waterfall",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Project Management",
          "skill_nature": "PRACTICE",
          "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": "waterfall",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "ETL",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Data Engineering Tools",
          "skill_nature": "CONCEPT",
          "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": "etl",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    }
  ],
  "unmatched_skills": [
    "Oracle",
    "UNIX",
    "MarkLogic",
    "Elastic",
    "Autosys",
    "Waterfall",
    "ETL"
  ]
}
API 3 — final-role-output
{
  "chosen_role": {
    "display_name": "Backend Developer",
    "id": 1,
    "rationale": "LLM2 picked backend-engineer (confidence 0.78)",
    "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"
  },
  "chosen_role_resolution": "in_db",
  "final_input_skills": [
    {
      "skill": "Informatica",
      "tag": "in_db"
    },
    {
      "skill": "SQL",
      "tag": "in_db"
    },
    {
      "skill": "Oracle",
      "tag": "new"
    },
    {
      "skill": "MongoDB",
      "tag": "in_db"
    },
    {
      "skill": "UNIX",
      "tag": "new"
    },
    {
      "skill": "Python",
      "tag": "in_db"
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    {
      "skill": "MarkLogic",
      "tag": "new"
    },
    {
      "skill": "Elastic",
      "tag": "new"
    },
    {
      "skill": "Autosys",
      "tag": "new"
    },
    {
      "skill": "Agile",
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    },
    {
      "skill": "Waterfall",
      "tag": "new"
    },
    {
      "skill": "ETL",
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  "llm_cost_api2_usd": null,
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  "llm_cost_total_usd": null,
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          "rationale": "Packaged tools for extracting, loading, and transforming data across systems. This dimension covers connector-based ingestion, transformation frameworks, and managed integration products.",
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        "dimension_id": 96,
        "input_skill": "Agile",
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        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
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        ],
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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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