Pipeline run

3187814c-44ab-4264-ae90-8a3d305f765e

Pipeline LLM cost (USD)

API 1: $0.0031 API 2: $0.0003 API 3: $0.0000 Total: $0.0034

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 pipeline development

Design and implement end-to-end data pipelines, databases, warehouses, and marts; move them from design through deployment to maintenance, while tuning performance and managing data lifecycle for web and data consumers.

"Design and propose end-to-end data pipelines ((ingestion to storage to consumption) for data projects"

Tech stack maturity

Mainstream Modern

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 (8)

Data Pipelines Databases Data Warehouses Data Marts Database Design Data Modeling Database Performance Tuning Data Lifecycle Management

Skill cluster (1 dimension groups, role-scoped)

Cross-cutting / unaligned

Data Pipelines Databases Data Warehouses Data Marts Database Design Data Modeling Database Performance Tuning Data Lifecycle Management

Show KRA description ↓

Collaborate with teams of experienced actuaries, developers and business experts to deliver projects • Design and propose end-to-end data pipelines ((ingestion to storage to consumption) for data projects as well as databases to support web-based applications • Design and implement data warehouses and data marts to serve data consumers • Execute implementation of the designs and bring it from design stages to implementation followed by operationalization to maintenance • Database design and modelling. To be able to organize data at both macro and micro level and provide logical data models for the consumers • Database performance tuning and data lifecycle management • Assist in support and enhancements of existing data pipelines and databases

Signals

Skill —

—

Alias data-engineer

1.00

KRA data-engineer

0.62

Post-classification

Centroidupdated · n=204

Alias collision log—

New-role queue—

New skills captured8

New KRA captured—

Captured for admin review

Data Pipelines primary ↔ Data Engineer pending

Databases primary ↔ Data Engineer pending

Data Warehouses primary ↔ Data Engineer pending

Data Marts primary ↔ Data Engineer pending

Database Design primary ↔ Data Engineer pending

Data Modeling primary ↔ Data Engineer pending

Database Performance Tuning primary ↔ Data Engineer pending

Data Lifecycle Management primary ↔ Data Engineer pending

Status: completed Created: 2026-05-27T14:44:49.522525Z Updated: 2026-06-12T17:21:05.930959Z API 3 duration: 2186 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

Data Engineer

CASE A

slug: data-engineer · id: 2 · source: db

Exact alias hit on data-engineer (1.0) — no other alias at this confidence; skill_top absent does not contradict

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

New skills

Skill↔dim saved

Role↔dim saved

Skipped

Job description

Data Engineer

Aon’s breadth of product offerings and global reach give us massive access to data and information, which in turn provides a unique opportunity to innovate and build and differentiating solutions for clients. But for Aon to capitalize on these opportunities, it requires a globally coordinated effort, an effort that the Aon Centre for Innovation and Analytics (ACIA) in Singapore is heavily investing towards.

We are seeking a data engineer who is a team player and extremely keen in pushing themselves to learn new skills on the job or off the job. The right individual for this role will need to have a meticulous eye for data and appreciates the process of wrangling, storing and understanding data. This person will work with a team of experienced actuarial analysts, developers and business resources to build databases, warehouses and ETL/ELT pipelines to fuel modern web applications and visualizations that deliver insightful analytics to the users.

As a data engineer in the Singapore Aon Innovation Centre, you will have an opportunity to work with newer modern technologies as well as tried and tested traditional technologies in the data ingestion/wrangling/storage toolchain. In addition to the hands-on opportunities, this is a role that will be part of the talent growth strategy of Aon. Being successful in this role would lead to technical and people leadership opportunities in the future.

Responsibilities: 

Collaborate with teams of experienced actuaries, developers and business experts to deliver projects

• Design and propose end-to-end data pipelines ((ingestion to storage to consumption) for data projects as well as databases to support web-based applications 
• Design and implement data warehouses and data marts to serve data consumers 
• Execute implementation of the designs and bring it from design stages to implementation followed by operationalization to maintenance 
• Database design and modelling. To be able to organize data at both macro and micro level and provide logical data models for the consumers 
• Database performance tuning and data lifecycle management 
• Assist in support and enhancements of existing data pipelines and databases 


Requirements: 

• 4+ years in-depth experience in working with a relational database system (eg. MSSQL, PostgreSQL) 
• Highly knowledgeable in ETL/ELT processes, both design and implementation via SSIS or some other ELT/ETL tool. 
• 1+ years in-depth experience in working with a data warehouse and knowledgeable on data warehouse modelling techniques 
• Good experience in building data pipelines that ingests various types of data sources into a database or data lake and populating a structured warehouse or data mart that fuels the data consumer. 
• Fluent in both complex SQL query performance tuning and database performance tuning 
• Have experience in building and designing data warehouses/data marts 
• Understand the importance of performance and able to implement best practices in ensuring performance and maintainability for data-centric projects 
• This person is required to be dynamic and be a quick eager learner as knowledge about new technologies will need to be acquired on the spot 


Nice to haves:

• Some experience developing data solutions using native IaaS and PaaS solutions on AWS (Redshift, RDS, S3) is a big advantage.
• Experience in Streamsets, Wherescape Red or Snowflake is a big advantage.
• Some hands on experience in developing data pipelines with python/pyspark in databricks will be an advantage. Experience in any object oriented or functional programming language is a plus.
 2505890

Skills from this JD

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

Data Pipelines 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 Engineering Tools
Sub-category: general
Skill nature: CONCEPT
Volatility: MEDIUM
Typical lifespan: MULTI_YEAR
Version strategy: UNVERSIONED

Databases 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: STABLE
Typical lifespan: EVERGREEN
Version strategy: UNVERSIONED

Data Warehouses 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

Data Marts 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: CONCEPT
Volatility: MEDIUM
Typical lifespan: MULTI_YEAR
Version strategy: UNVERSIONED

Database Design Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)

Canonical: schema design id=19 · schema-design

Aliases — catalog

schema design (CANONICAL) primary
Schema Design (CANONICAL)

Context tags (catalog)

ACID DDL ER modeling ERD NoSQL SQL cardinality constraints data governance data integrity data lineage data model data modeling data normalization data types data warehouse database design database normalization database optimization database schema denormalization dimensional modeling entity relationship entity-relationship entity-relationship diagram foreign key foreign keys indexes indexing metadata management normalization primary key primary keys query optimization relational relational databases relational model relational schema schema evolution schema migration snowflake schema star schema

Stored enrichment (catalog DB)

Category: Concept
Sub-category: Database Schema Design
Confidence: 0.84
Version strategy: NOT_APPLICABLE

Maturity reasoning: Schema design is a standard requirement in backend/data JDs and appears across SQL, data engineering, and SaaS roles; it’s a core interview topic rather than a niche specialty.

Skill profile (library / DB)

Skill nature: CONCEPT
Volatility: STABLE
Typical lifespan: EVERGREEN
Category id: 2
Sub-category id: 2479
Extractable: True
Also category: False

Dimensions (API 2 worklist)

Relational Data Modeling Catalog dimension db id 216

Library dimension (catalog)

Roles linked in library: Fullstack Developer, Fullstack Developer, PHP Backend Developer
Relational Database Design Catalog dimension db id 4

Library dimension (catalog)

Roles linked in library: .NET Backend Developer, Backend Developer, Kotlin Backend Developer, Node.js Backend Developer, Python Backend Developer, Ruby Backend Developer, Scala Backend Developer

API 3 link attempts (this skill)

Dimension	Skill↔dim	Role↔dim	Outcome
Relational Data Modeling relational-data-modeling	—	—	Skipped — no persistable v3 meta for new skill skill_not_in_db_v3_proposed
Relational Database Design relational-database-design	—	—	Skipped — no persistable v3 meta for new skill skill_not_in_db_v3_proposed

Data Modeling Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)

Canonical: domain modeling id=2379 · domain-modeling

Aliases — catalog

domain modeling (CANONICAL) primary
Domain Modeling (CANONICAL)

Context tags (catalog)

CQRS DDD ERD UML aggregate bounded context business logic context map context mapping data modeling domain events domain-driven design entities entity event sourcing event storming microservices repositories repository pattern service layer services value object value objects

Stored enrichment (catalog DB)

Category: Methodology
Sub-category: Domain Modeling
Confidence: 0.90
Version strategy: NOT_APPLICABLE

Maturity reasoning: Common in software JDs under DDD/business analysis; many roles ask for domain modeling or domain-driven design, and it remains a standard design skill rather than a niche tool.

Skill profile (library / DB)

Skill nature: METHODOLOGY
Volatility: STABLE
Typical lifespan: EVERGREEN
Category id: 8
Sub-category id: 2831
Extractable: True
Also category: False

Dimensions (API 2 worklist)

Application Architecture Patterns Catalog dimension db id 293

Library dimension (catalog)

Roles linked in library: .NET Backend Developer, Python Backend Developer
Service Architecture and Design Patterns Catalog dimension db id 18

Library dimension (catalog)

Roles linked in library: Backend Developer, Java Backend Developer, Kotlin Backend Developer, Node.js Backend Developer, PHP Backend Developer, Ruby Backend Developer, Scala Backend Developer

API 3 link attempts (this skill)

Dimension	Skill↔dim	Role↔dim	Outcome
Application Architecture Patterns application-architecture-patterns	—	—	Skipped — no persistable v3 meta for new skill skill_not_in_db_v3_proposed
Service Architecture and Design Patterns service-architecture-and-design-patterns	—	—	Skipped — no persistable v3 meta for new skill skill_not_in_db_v3_proposed

Database Performance Tuning 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: PRACTICE
Volatility: MEDIUM
Typical lifespan: MULTI_YEAR
Version strategy: UNVERSIONED

Data Lifecycle Management 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 Engineering Tools
Sub-category: general
Skill nature: PRACTICE
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
Database Design	new	Relational Data Modeling relational-data-modeling	—	—	Skipped — no persistable v3 meta for new skill	skill_not_in_db_v3_proposed
Database Design	new	Relational Database Design relational-database-design	—	—	Skipped — no persistable v3 meta for new skill	skill_not_in_db_v3_proposed
Data Modeling	new	Application Architecture Patterns application-architecture-patterns	—	—	Skipped — no persistable v3 meta for new skill	skill_not_in_db_v3_proposed
Data Modeling	new	Service Architecture and Design Patterns service-architecture-and-design-patterns	—	—	Skipped — no persistable v3 meta for new skill	skill_not_in_db_v3_proposed

Library artifacts (this run)

Kind	Detail	DB id
canonical_skill_proposed	Data Pipelines \| type=Data Engineering Tools subtype=general nature=CONCEPT lifespan=MULTI_YEAR
canonical_skill_proposed	Databases \| type=Databases subtype=general nature=TOOL lifespan=EVERGREEN
canonical_skill_proposed	Data Warehouses \| type=Databases subtype=general nature=TOOL lifespan=MULTI_YEAR
canonical_skill_proposed	Data Marts \| type=Databases subtype=general nature=CONCEPT lifespan=MULTI_YEAR
canonical_skill_proposed	Database Performance Tuning \| type=Databases subtype=general nature=PRACTICE lifespan=MULTI_YEAR
canonical_skill_proposed	Data Lifecycle Management \| type=Data Engineering Tools subtype=general nature=PRACTICE lifespan=MULTI_YEAR
dimension_skill_link_proposed	Database Design ↔ Relational Data Modeling
dimension_skill_link_proposed	Database Design ↔ Relational Database Design
dimension_skill_link_proposed	Data Modeling ↔ Application Architecture Patterns
dimension_skill_link_proposed	Data Modeling ↔ Service Architecture and Design Patterns

nano JD Parser — gpt-4.1-nano click to toggle

RoleData Engineer

CompanyAon

Experience4+ years in-depth experience in working with a relational database system

DomainIT Services & Consulting

Location Singapore, Singapore

JD type pass

Show raw JSON

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  "urls": []
}

API 1 — extract-from-jd click to toggle

{
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        "slug": "kotlin-server-backend-developer",
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    "reasoning": "Exact alias hit on data-engineer (1.0) \u2014 no other alias at this confidence; skill_top absent does not contradict",
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  "stage5_updates": {
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    "new_skills_attached": [
      {
        "is_primary": true,
        "queue_id": 10773,
        "role_display_name": "Data Engineer",
        "role_slug": "data-engineer",
        "skill_name": "Data Pipelines",
        "status": "pending"
      },
      {
        "is_primary": true,
        "queue_id": 10774,
        "role_display_name": "Data Engineer",
        "role_slug": "data-engineer",
        "skill_name": "Databases",
        "status": "pending"
      },
      {
        "is_primary": true,
        "queue_id": 10775,
        "role_display_name": "Data Engineer",
        "role_slug": "data-engineer",
        "skill_name": "Data Warehouses",
        "status": "pending"
      },
      {
        "is_primary": true,
        "queue_id": 10776,
        "role_display_name": "Data Engineer",
        "role_slug": "data-engineer",
        "skill_name": "Data Marts",
        "status": "pending"
      },
      {
        "is_primary": true,
        "queue_id": 10777,
        "role_display_name": "Data Engineer",
        "role_slug": "data-engineer",
        "skill_name": "Database Design",
        "status": "pending"
      },
      {
        "is_primary": true,
        "queue_id": 10778,
        "role_display_name": "Data Engineer",
        "role_slug": "data-engineer",
        "skill_name": "Data Modeling",
        "status": "pending"
      },
      {
        "is_primary": true,
        "queue_id": 10779,
        "role_display_name": "Data Engineer",
        "role_slug": "data-engineer",
        "skill_name": "Database Performance Tuning",
        "status": "pending"
      },
      {
        "is_primary": true,
        "queue_id": 10780,
        "role_display_name": "Data Engineer",
        "role_slug": "data-engineer",
        "skill_name": "Data Lifecycle Management",
        "status": "pending"
      }
    ],
    "queue_entry_id": null,
    "v3_pipeline_triggered": false,
    "v3_role_slug": null,
    "v3_run_id": null
  }
}

API 2 — extract-details

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    {
      "alias_persist_skipped_reason": "TODO: REMOVE AFTER TESTING \u2014 alias DB write disabled",
      "alias_persisted": false,
      "existing_alias_id": 5581,
      "existing_alias_text": "Schema Design",
      "input_term": "Database Design",
      "matched_canonical": {
        "category_id": 2,
        "display_name": "schema design",
        "id": 19,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "CONCEPT",
        "slug": "schema-design",
        "sub_category_id": 2479,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "matched_via": "embedding_alias"
    },
    {
      "alias_persist_skipped_reason": "TODO: REMOVE AFTER TESTING \u2014 alias DB write disabled",
      "alias_persisted": false,
      "existing_alias_id": 5644,
      "existing_alias_text": "Domain Modeling",
      "input_term": "Data Modeling",
      "matched_canonical": {
        "category_id": 8,
        "display_name": "domain modeling",
        "id": 2379,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "METHODOLOGY",
        "slug": "domain-modeling",
        "sub_category_id": 2831,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "matched_via": "embedding_alias"
    }
  ],
  "candidate_roles": [
    {
      "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": "PHP Backend Developer",
      "id": 86,
      "rationale": null,
      "role_archetype": "Engineering",
      "slug": "php-backend-developer",
      "source": "db"
    },
    {
      "display_name": ".NET Backend Developer",
      "id": 83,
      "rationale": null,
      "role_archetype": "Engineering",
      "slug": "dotnet-backend-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": "Kotlin Backend Developer",
      "id": 84,
      "rationale": null,
      "role_archetype": "Engineering",
      "slug": "kotlin-server-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": "Python Backend Developer",
      "id": 80,
      "rationale": null,
      "role_archetype": "Engineering",
      "slug": "python-backend-developer",
      "source": "db"
    },
    {
      "display_name": "Ruby Backend Developer",
      "id": 85,
      "rationale": null,
      "role_archetype": "Engineering",
      "slug": "ruby-backend-developer",
      "source": "db"
    },
    {
      "display_name": "Scala Backend Developer",
      "id": 87,
      "rationale": null,
      "role_archetype": "Engineering",
      "slug": "scala-backend-developer",
      "source": "db"
    },
    {
      "display_name": "Java Backend Developer",
      "id": 79,
      "rationale": null,
      "role_archetype": "Engineering",
      "slug": "java-backend-developer",
      "source": "db"
    }
  ],
  "chosen_role": {
    "display_name": "Data Engineer",
    "id": 2,
    "rationale": "Exact alias hit on data-engineer (1.0) \u2014 no other alias at this confidence; skill_top absent does not contradict",
    "role_archetype": null,
    "slug": "data-engineer",
    "source": "db"
  },
  "dimensions": [
    {
      "dimension": {
        "difficulty_hint": "well_known",
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        "id": 216,
        "rationale": "Modeling and tuning relational persistence for backend features. PHP backend developers need this to shape schemas, indexes, transactions, and query-aware data structures that support application behavior.",
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        "source": "db"
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      "input_skill": "Database Design",
      "llm_role": null,
      "roles_from_db": [
        {
          "display_name": "Fullstack Developer",
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          "rationale": null,
          "role_archetype": "Engineering",
          "slug": "fullstack-developer",
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        },
        {
          "display_name": "Fullstack Developer",
          "id": 15,
          "rationale": null,
          "role_archetype": null,
          "slug": "full-stack-engineer",
          "source": "db"
        },
        {
          "display_name": "PHP Backend Developer",
          "id": 86,
          "rationale": null,
          "role_archetype": "Engineering",
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      ]
    },
    {
      "dimension": {
        "difficulty_hint": "well_known",
        "display_name": "Relational Database Design",
        "id": 4,
        "rationale": "Modeling and operating relational persistence for backend services. Includes schema design, normalization, indexing, transactions, and query tuning for operational data stores.",
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        "source": "db"
      },
      "input_skill": "Database Design",
      "llm_role": null,
      "roles_from_db": [
        {
          "display_name": ".NET Backend Developer",
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          "rationale": null,
          "role_archetype": "Engineering",
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        },
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          "slug": "backend-engineer",
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        },
        {
          "display_name": "Kotlin Backend Developer",
          "id": 84,
          "rationale": null,
          "role_archetype": "Engineering",
          "slug": "kotlin-server-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": "Python Backend Developer",
          "id": 80,
          "rationale": null,
          "role_archetype": "Engineering",
          "slug": "python-backend-developer",
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        },
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          "display_name": "Ruby Backend Developer",
          "id": 85,
          "rationale": null,
          "role_archetype": "Engineering",
          "slug": "ruby-backend-developer",
          "source": "db"
        },
        {
          "display_name": "Scala Backend Developer",
          "id": 87,
          "rationale": null,
          "role_archetype": "Engineering",
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          "source": "db"
        }
      ]
    },
    {
      "dimension": {
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        "source": "db"
      },
      "input_skill": "Data Modeling",
      "llm_role": null,
      "roles_from_db": [
        {
          "display_name": ".NET Backend Developer",
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        },
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          "display_name": "Python Backend Developer",
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          "role_archetype": "Engineering",
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        }
      ]
    },
    {
      "dimension": {
        "difficulty_hint": "well_known",
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        "source": "db"
      },
      "input_skill": "Data Modeling",
      "llm_role": null,
      "roles_from_db": [
        {
          "display_name": "Backend Developer",
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          "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.",
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          "role_archetype": "Engineering",
          "slug": "java-backend-developer",
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        },
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          "display_name": "Kotlin Backend Developer",
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          "role_archetype": "Engineering",
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          "source": "db"
        },
        {
          "display_name": "Node.js Backend Developer",
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          "rationale": null,
          "role_archetype": "Engineering",
          "slug": "node-backend-developer",
          "source": "db"
        },
        {
          "display_name": "PHP Backend Developer",
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          "role_archetype": "Engineering",
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        },
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          "id": 85,
          "rationale": null,
          "role_archetype": "Engineering",
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        },
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          "display_name": "Scala Backend Developer",
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          "role_archetype": "Engineering",
          "slug": "scala-backend-developer",
          "source": "db"
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      ]
    }
  ],
  "input_final_skills": [
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    "Data Marts",
    "Database Design",
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    "Database Performance Tuning",
    "Data Lifecycle Management"
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  "input_llm_skills": [
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    "Data Warehouses",
    "Data Marts",
    "Database Design",
    "Data Modeling",
    "Database Performance Tuning",
    "Data Lifecycle Management"
  ],
  "new_aliases_persisted": 0,
  "run_id": "3187814c-44ab-4264-ae90-8a3d305f765e",
  "skills_detail": [
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "Data Pipelines",
      "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": "data-pipelines",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "Databases",
      "matched_via": null,
      "new_alias_persisted": false,
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      "new_skill_meta": {
        "derived": {
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        "enrichment": null,
        "keep_log": [],
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      },
      "source_tag": "llm",
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    },
    {
      "aliases_in_db": [],
      "canonical": null,
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      "input_skill": "Data Warehouses",
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      "new_alias_persisted": false,
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    },
    {
      "aliases_in_db": [],
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      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
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          "is_primary": true,
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        },
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      ],
      "canonical": {
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          ]
        }
      ],
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      "was_in_llm_skills": true
    },
    {
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            "source": "db"
          },
          "input_skill": "Data Modeling",
          "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": "Java Backend Developer",
              "id": 79,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "java-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": "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": "Ruby Backend Developer",
              "id": 85,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "ruby-backend-developer",
              "source": "db"
            },
            {
              "display_name": "Scala Backend Developer",
              "id": 87,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "scala-backend-developer",
              "source": "db"
            }
          ]
        }
      ],
      "input_skill": "Data Modeling",
      "matched_via": "embedding_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": "Database Performance Tuning",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Databases",
          "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": "database-performance-tuning",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "Data Lifecycle Management",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Data Engineering Tools",
          "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": "data-lifecycle-management",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    }
  ],
  "unmatched_skills": [
    "Data Pipelines",
    "Databases",
    "Data Warehouses",
    "Data Marts",
    "Database Performance Tuning",
    "Data Lifecycle Management"
  ]
}

API 3 — final-role-output

{
  "chosen_role": {
    "display_name": "Data Engineer",
    "id": 2,
    "rationale": "Exact alias hit on data-engineer (1.0) \u2014 no other alias at this confidence; skill_top absent does not contradict",
    "role_archetype": null,
    "slug": "data-engineer",
    "source": "db"
  },
  "chosen_role_resolution": "in_db",
  "final_input_skills": [
    {
      "skill": "Data Pipelines",
      "tag": "new"
    },
    {
      "skill": "Databases",
      "tag": "new"
    },
    {
      "skill": "Data Warehouses",
      "tag": "new"
    },
    {
      "skill": "Data Marts",
      "tag": "new"
    },
    {
      "skill": "Database Design",
      "tag": "in_db"
    },
    {
      "skill": "Data Modeling",
      "tag": "in_db"
    },
    {
      "skill": "Database Performance Tuning",
      "tag": "new"
    },
    {
      "skill": "Data Lifecycle Management",
      "tag": "new"
    }
  ],
  "llm_cost_api1_usd": null,
  "llm_cost_api2_usd": null,
  "llm_cost_api3_usd": null,
  "llm_cost_total_usd": null,
  "persistence": {
    "items": [
      {
        "chosen_role_id": 2,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Relational Data Modeling",
          "id": 216,
          "rationale": "Modeling and tuning relational persistence for backend features. PHP backend developers need this to shape schemas, indexes, transactions, and query-aware data structures that support application behavior.",
          "slug": "relational-data-modeling",
          "source": "db"
        },
        "dimension_id": 216,
        "input_skill": "Database Design",
        "llm_role": null,
        "matched_chosen_role": false,
        "outcome_line": "Skipped \u2014 no persistable v3 meta for new skill",
        "role_dimension_saved": false,
        "roles_from_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": "PHP Backend Developer",
            "id": 86,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "php-backend-developer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": false,
        "skill_id": null,
        "skill_tag": "new",
        "skipped_reason": "skill_not_in_db_v3_proposed"
      },
      {
        "chosen_role_id": 2,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Relational Database Design",
          "id": 4,
          "rationale": "Modeling and operating relational persistence for backend services. Includes schema design, normalization, indexing, transactions, and query tuning for operational data stores.",
          "slug": "relational-database-design",
          "source": "db"
        },
        "dimension_id": 4,
        "input_skill": "Database Design",
        "llm_role": null,
        "matched_chosen_role": false,
        "outcome_line": "Skipped \u2014 no persistable v3 meta for new skill",
        "role_dimension_saved": false,
        "roles_from_db": [
          {
            "display_name": ".NET Backend Developer",
            "id": 83,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "dotnet-backend-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": "Kotlin Backend Developer",
            "id": 84,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "kotlin-server-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": "Python Backend Developer",
            "id": 80,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "python-backend-developer",
            "source": "db"
          },
          {
            "display_name": "Ruby Backend Developer",
            "id": 85,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "ruby-backend-developer",
            "source": "db"
          },
          {
            "display_name": "Scala Backend Developer",
            "id": 87,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "scala-backend-developer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": false,
        "skill_id": null,
        "skill_tag": "new",
        "skipped_reason": "skill_not_in_db_v3_proposed"
      },
      {
        "chosen_role_id": 2,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Application Architecture Patterns",
          "id": 293,
          "rationale": "Structural patterns for organizing Python backend code into maintainable modules, layers, and feature boundaries. This is a coherent cluster because senior backend developers are expected to refactor and shape service internals over time.",
          "slug": "application-architecture-patterns",
          "source": "db"
        },
        "dimension_id": 293,
        "input_skill": "Data Modeling",
        "llm_role": null,
        "matched_chosen_role": false,
        "outcome_line": "Skipped \u2014 no persistable v3 meta for new skill",
        "role_dimension_saved": false,
        "roles_from_db": [
          {
            "display_name": ".NET Backend Developer",
            "id": 83,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "dotnet-backend-developer",
            "source": "db"
          },
          {
            "display_name": "Python Backend Developer",
            "id": 80,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "python-backend-developer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": false,
        "skill_id": null,
        "skill_tag": "new",
        "skipped_reason": "skill_not_in_db_v3_proposed"
      },
      {
        "chosen_role_id": 2,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Service Architecture and Design Patterns",
          "id": 18,
          "rationale": "Reusable backend design patterns used to structure service code and boundaries. Covers layering, dependency management, domain modeling, and maintainable service organization.",
          "slug": "service-architecture-and-design-patterns",
          "source": "db"
        },
        "dimension_id": 18,
        "input_skill": "Data Modeling",
        "llm_role": null,
        "matched_chosen_role": false,
        "outcome_line": "Skipped \u2014 no persistable v3 meta for new skill",
        "role_dimension_saved": false,
        "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": "Java Backend Developer",
            "id": 79,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "java-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": "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": "Ruby Backend Developer",
            "id": 85,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "ruby-backend-developer",
            "source": "db"
          },
          {
            "display_name": "Scala Backend Developer",
            "id": 87,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "scala-backend-developer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": false,
        "skill_id": null,
        "skill_tag": "new",
        "skipped_reason": "skill_not_in_db_v3_proposed"
      }
    ],
    "new_skills_created": 0,
    "role_dimension_saved": 0,
    "skill_dimension_saved": 0,
    "skipped": 4
  },
  "planner_output": null,
  "run_id": "3187814c-44ab-4264-ae90-8a3d305f765e"
}

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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