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Pipeline run

85d69f49-1864-4499-87de-d5e60489df7c

Pipeline LLM cost (USD)
API 1: $0.0080 API 2: $0.0003 API 3: $0.0000 Total: $0.0083

Client output enrichment

v2 Skill cluster · Nature of work · AI index · Tech stack maturity · Evidence · KRA description
Nature of work · ETL / Data Integration
Build and support Informatica ETL for insurance apps, troubleshoot production issues, tune mappings/sessions, and work with BA/PMs plus Oracle/SQL Server DBAs through Agile/JIRA and deployment processes.
""New Informatica development for insurance related applications""
Tech stack maturity
Mainstream Legacy
The stack centers on Informatica and SQL Server, which are widely used enterprise technologies that are established rather than cloud-native or bleeding-edge.
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 ETL Oracle SQL Server Agile JIRA Database Administration Performance Tuning Dev QA Prod Helpdesk
Skill cluster (1 dimension groups, role-scoped)
Cross-cutting / unaligned
Informatica ETL Oracle SQL Server Agile JIRA Database Administration Performance Tuning Dev QA Prod Helpdesk
Show KRA description ↓
• New Informatica development for insurance related applications and business as per their requirements and maintenance activities to support ETL Solutions. • To handle Informatica production support issues with thorough research on the root cause and provide solution at the quickest. • Interact with business analysts and project managers to understand business needs. • Analyze business requirements and transform into technical design. • Create and update Informatica Fact Sheets for any new request or code changes. • Work with team members located on-shore and off-shore. • Work with Oracle and SQL Server Databases. • Interface with Informatica and Database Administration groups. • Application support and troubleshooting of ETL issues. • Proactively provide ideas and solutions to automate and reduce support activities. • Provide support to Oracle / SQL Server DBA's in case of any production failures. • Implement performance tuning of source, target, mappings and sessions to improvise the production run and make the loads efficient. • Participate in Agile meetings on a daily basis and follow the Agile process using JIRA tool. • In case of any code change for existing Informatica logic, follow the process from Dev, QA, Prod deployment, test results and approval via Helpdesk tools.

Signals

Skill backend-engineer
0.17
Alias data-engineer
1.00
KRA backend-engineer
0.54

Post-classification

Centroidupdated · n=14
Alias collision log—
New-role queue—
New skills captured8
New KRA capturedyes

Captured for admin review

ETL primary ↔ ETL / ELT Developer pending
Oracle primary ↔ ETL / ELT Developer pending
Performance Tuning ↔ ETL / ELT Developer pending
JIRA primary ↔ ETL / ELT Developer pending
Dev ↔ ETL / ELT Developer pending
QA ↔ ETL / ELT Developer pending
Prod ↔ ETL / ELT Developer pending
Helpdesk ↔ ETL / ELT Developer pending
R&R fragment (sim 0.00) ↔ ETL / ELT Developer pending

• New Informatica development for insurance related applications and business as per their requirements and maintenance activities to support ETL Solutions. • To handle Informatica production support …

Status: completed Created: 2026-05-27T16:32:58.440566Z Updated: 2026-05-27T16:34:25.819250Z API 3 duration: 12437 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

ETL / ELT Developer

domain · Data Engineering & Analytics CASE DOMAIN

slug: etl-elt-developer · id: 50 · source: db

Domain=Data Engineering & Analytics; The JD is centered on Informatica-based ETL development, production support, database integration, and deployment for ETL solutions.

Matched skills

InformaticaOracleSQL ServerJIRAETL SolutionsFact SheetsAgileproduction supportperformance tuningroot cause

Matched dimensions

ETL DevelopmentProduction SupportDatabase IntegrationTechnical Design TranslationPerformance OptimizationAgile Delivery

Matched KRAs

New Informatica development for insurance related applicationsHandle Informatica production support issuesAnalyze business requirements and transform into technical designCreate and update Informatica Fact SheetsWork with Oracle and SQL Server DatabasesImplement performance tuning of source, target, mappings and sessionsFollow the Agile process using JIRA toolfollow the process from Dev, QA, Prod deployment

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
1
Skipped

Job description

job description:-Dear Job Seekers,

Greetings from Kumaran Systems !

We are hiring for ETL Informatica Developer with Oracle ( Chennai / Bangalore/WFH) Only Immediate Joiners can apply !!

Technology

Bachelors Degree and 5+ years of equivalent experience related to ETL process, Informatica

Experience with ETL Tool SSIS is a plus

Strong experience in SQL/PL-SQL, Query Optimization and Data management

Working knowledge of SQL Server 2008 R2/2012, Oracle 10g and later versions

Knowledge of DB2 relational databases (optional)

Primary Skills: ETL Informatica Developer, Informatica Power Center, Informatica Power Exchange

Secondary Skills: SSIS, SQL Server, Oracle

Job Responsibilities

• New Informatica development for insurance related applications and business as per their requirements and maintenance activities to support ETL Solutions.
• To handle Informatica production support issues with thorough research on the root cause and provide solution at the quickest.
• Interact with business analysts and project managers to understand business needs.
• Analyze business requirements and transform into technical design.
• Create and update Informatica Fact Sheets for any new request or code changes.
• Work with team members located on-shore and off-shore.
• Work with Oracle and SQL Server Databases.
• Interface with Informatica and Database Administration groups.
• Application support and troubleshooting of ETL issues.
• Proactively provide ideas and solutions to automate and reduce support activities.
• Provide support to Oracle / SQL Server DBA's in case of any production failures.
• Implement performance tuning of source, target, mappings and sessions to improvise the production run and make the loads efficient.
• Participate in Agile meetings on a daily basis and follow the Agile process using JIRA tool.
• In case of any code change for existing Informatica logic, follow the process from Dev, QA, Prod deployment, test results and approval via Helpdesk tools


Experience: 5+ years

Interested Applicants share resumes to selvamani.subramaniyan@kumaran.com

Regards,

Selvamani S

Recruitment Consultant - Human Resource

Kumaran Systems | www.kumaran.com

Mobile: 9524389619

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)
ETL 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
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
SQL Server Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: SQL Server id=18 · sql-server

Aliases — catalog

  • SQL Server (CANONICAL) primary
  • SQL Server 2000 (VERSION)
  • SQL Server 2005 (VERSION)
  • SQL Server 2008 (VERSION)
  • SQL Server 2012 (VERSION)
  • SQL Server 2014 (VERSION)
  • SQL Server 2016 (VERSION)
  • SQL Server 2017 (VERSION)
  • SQL Server 2019 (VERSION)
  • SQL Server 2022 (VERSION)
  • SQL Server 6.5 (VERSION)
  • SQL Server 7.0 (VERSION)

Context tags (catalog)

Always On CLR Integration Clustered Index ETL Execution Plan Linked Servers Query Store Replication SQL Agent SQL Server Agent SQL Server Integration Services SQL Server Management Studio SQL Server Reporting Services SSIS SSMS SSRS Stored Procedures T-SQL TempDB backup and recovery backup and restore clustering data migration data warehousing database design database normalization indexing performance tuning query optimization replication stored procedures transaction log transaction logs

Stored enrichment (catalog DB)

Category
Datastore
Sub-category
Relational Database
Vendor
Microsoft
License
proprietary
Year introduced
1989
Confidence
0.99
Version strategy
NOT_APPLICABLE

Maturity reasoning: SQL Server appears in many enterprise job descriptions and remains a major Microsoft-supported RDBMS with active Azure SQL/SQL Server demand; it is a common hiring-pipeline staple, not a sunset technology.

Skill profile (library / DB)

Skill nature
TOOL
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
3
Sub-category id
29
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • 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 Database Design
relational-database-design
 ✓ — Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Database Administration Secondary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Database Administration id=1374 · database-administration

Aliases — catalog

  • Database Administration (CANONICAL)

Context tags (catalog)

ETL NoSQL SQL backup data modeling database design database migration database security high availability indexing performance tuning query optimization replication stored procedures transaction management

Stored enrichment (catalog DB)

Category
Domain
Sub-category
Database Administration
Confidence
0.95
Version strategy
NOT_APPLICABLE

Maturity reasoning: Database administration is a common hiring requirement across DBAs, SREs, and platform roles; job postings routinely list backup/recovery, replication, and performance tuning for PostgreSQL, MySQL, and SQL Server.

Skill profile (library / DB)

Skill nature
CONCEPT
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
37
Sub-category id
1040
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • React Frontend Development Catalog dimension db id 96

    Library dimension (catalog)

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)
Performance Tuning Secondary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: query tuning id=3553 · query-tuning

Aliases — catalog

  • query tuning (CANONICAL) primary
  • Query Tuning (CANONICAL)

Context tags (catalog)

SQL SQL optimization caching cost estimation cost-based optimization data retrieval database indexing database optimization database performance database profiling database statistics database tuning execution plan execution time indexing join strategies load balancing parameter sniffing query analysis query complexity query execution query performance query profiling query rewriting resource allocation resource utilization statistics

Stored enrichment (catalog DB)

Category
Concept
Sub-category
Query Optimization
Confidence
0.82
Version strategy
NOT_APPLICABLE

Maturity reasoning: Common in DB/analytics job descriptions and vendor docs; PostgreSQL, MySQL, SQL Server, and Oracle all expose EXPLAIN/ANALYZE and tuning guides, showing broad hiring-pipeline demand.

Skill profile (library / DB)

Skill nature
CONCEPT
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
2
Sub-category id
3067
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • 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 Database Design
relational-database-design
 — — Skipped — no persistable v3 meta for new skill
skill_not_in_db_v3_proposed
Agile Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Agile id=520 · agile

Aliases — catalog

  • Agile (CANONICAL) primary

Context tags (catalog)

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

Stored enrichment (catalog DB)

Category
Methodology
Sub-category
Agile
Confidence
0.99
Version strategy
NOT_APPLICABLE

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

Skill profile (library / DB)

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

Dimensions (API 2 worklist)

  • React Frontend Development Catalog dimension db id 96

    Library dimension (catalog)

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

    Library dimension (catalog)

    Roles linked in library: Engineering Manager

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
React Frontend Development
d_init_01
 ✓ — Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Software Concepts, Patterns & Practices
software-concepts-patterns-practices
 ✓ — Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
JIRA Primary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

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

Derived legacy fields
Category
Project Management Tools
Sub-category
general
Skill nature
TOOL
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Dev 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
Soft Skills
Sub-category
general
Skill nature
CONCEPT
Volatility
STABLE
Typical lifespan
EVERGREEN
Version strategy
UNVERSIONED
QA 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
Testing Tools
Sub-category
general
Skill nature
PRACTICE
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Prod 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
Infrastructure Tools
Sub-category
general
Skill nature
CONCEPT
Volatility
STABLE
Typical lifespan
EVERGREEN
Version strategy
UNVERSIONED
Helpdesk 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
Support Tools
Sub-category
general
Skill nature
TOOL
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 Server in_db
Relational Database Design
relational-database-design
 ✓ — Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Database Administration in_db
React Frontend Development
d_init_01
 ✓ — Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Performance Tuning new
Relational Database Design
relational-database-design
 — — Skipped — no persistable v3 meta for new skill skill_not_in_db_v3_proposed
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 ETL | type=Data Engineering Tools subtype=general nature=PRACTICE lifespan=MULTI_YEAR
canonical_skill_proposed Oracle | type=Databases subtype=general nature=TOOL lifespan=MULTI_YEAR
canonical_skill_proposed JIRA | type=Project Management Tools subtype=general nature=TOOL lifespan=MULTI_YEAR
canonical_skill_proposed Dev | type=Soft Skills subtype=general nature=CONCEPT lifespan=EVERGREEN
canonical_skill_proposed QA | type=Testing Tools subtype=general nature=PRACTICE lifespan=MULTI_YEAR
canonical_skill_proposed Prod | type=Infrastructure Tools subtype=general nature=CONCEPT lifespan=EVERGREEN
canonical_skill_proposed Helpdesk | type=Support Tools subtype=general nature=TOOL lifespan=MULTI_YEAR
dimension_skill_link_proposed Performance Tuning ↔ Relational Database Design
nano JD Parser — gpt-4.1-nano click to toggle
RoleETL Informatica Developer
CompanyKumaran Systems
Experience5+ years
DomainIT Services & Consulting
Location Chennai, India (hybrid)
JD type pass
Show raw JSON 
{
  "JD_type": "pass",
  "about_company": null,
  "certifications": [],
  "company_name": "Kumaran Systems",
  "ctc": null,
  "domain": {
    "primary": {
      "aliases": [
        "ITES",
        "BPO"
      ],
      "domain": "IT Services \u0026 Consulting"
    },
    "secondary": null
  },
  "education": [
    {
      "level": "Bachelor\u0027s",
      "qualification": "BTECH/BE - Any Discipline",
      "raw": "Bachelors Degree",
      "requirement": "required"
    }
  ],
  "experience": {
    "max": null,
    "min": 5,
    "raw": "5+ years"
  },
  "job_locations": [
    {
      "aliases": [
        "Madras"
      ],
      "city": "Chennai",
      "country": "India",
      "state": null,
      "work_mode": "hybrid"
    },
    {
      "aliases": [
        "Bengaluru"
      ],
      "city": "Bangalore",
      "country": "India",
      "state": "Karnataka",
      "work_mode": "hybrid"
    }
  ],
  "role": "ETL Informatica Developer",
  "role_aliases": [
    "Informatica Developer",
    "ETL Developer",
    "Data Integration Developer"
  ],
  "role_archetype": "Engineering",
  "roles_and_responsibilities": [
    {
      "bullet_count": 13,
      "heading": "Job Responsibilities",
      "heading_was_present": true,
      "source_marker": {
        "first_5_words": "\u2022 New Informatica development for",
        "last_5_words": "via Helpdesk tools."
      },
      "text": "\u2022 New Informatica development for insurance related applications and business as per their requirements and maintenance activities to support ETL Solutions.\n\u2022 To handle Informatica production support issues with thorough research on the root cause and provide solution at the quickest.\n\u2022 Interact with business analysts and project managers to understand business needs.\n\u2022 Analyze business requirements and transform into technical design.\n\u2022 Create and update Informatica Fact Sheets for any new request or code changes.\n\u2022 Work with team members located on-shore and off-shore.\n\u2022 Work with Oracle and SQL Server Databases.\n\u2022 Interface with Informatica and Database Administration groups.\n\u2022 Application support and troubleshooting of ETL issues.\n\u2022 Proactively provide ideas and solutions to automate and reduce support activities.\n\u2022 Provide support to Oracle / SQL Server DBA\u0027s in case of any production failures.\n\u2022 Implement performance tuning of source, target, mappings and sessions to improvise the production run and make the loads efficient.\n\u2022 Participate in Agile meetings on a daily basis and follow the Agile process using JIRA tool.\n\u2022 In case of any code change for existing Informatica logic, follow the process from Dev, QA, Prod deployment, test results and approval via Helpdesk tools.",
      "word_count": 218
    }
  ],
  "urls": [
    {
      "type": "website",
      "url": "http://www.kumaran.com"
    }
  ]
}
API 1 — extract-from-jd click to toggle 
{
  "final_skills": [
    {
      "is_primary": true,
      "skill_name": "Informatica"
    },
    {
      "is_primary": true,
      "skill_name": "ETL"
    },
    {
      "is_primary": true,
      "skill_name": "Oracle"
    },
    {
      "is_primary": true,
      "skill_name": "SQL Server"
    },
    {
      "is_primary": false,
      "skill_name": "Database Administration"
    },
    {
      "is_primary": false,
      "skill_name": "Performance Tuning"
    },
    {
      "is_primary": true,
      "skill_name": "Agile"
    },
    {
      "is_primary": true,
      "skill_name": "JIRA"
    },
    {
      "is_primary": false,
      "skill_name": "Dev"
    },
    {
      "is_primary": false,
      "skill_name": "QA"
    },
    {
      "is_primary": false,
      "skill_name": "Prod"
    },
    {
      "is_primary": false,
      "skill_name": "Helpdesk"
    }
  ],
  "jd_role": {
    "display_name": "ETL Informatica Developer",
    "rationale": null,
    "role_aliases": [
      "Informatica Developer",
      "ETL Developer",
      "Data Integration Developer"
    ],
    "role_archetype": "Engineering",
    "slug": ""
  },
  "nano_parsed": {
    "JD_type": "pass",
    "about_company": null,
    "certifications": [],
    "company_name": "Kumaran Systems",
    "ctc": null,
    "domain": {
      "primary": {
        "aliases": [
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        ],
        "domain": "IT Services \u0026 Consulting"
      },
      "secondary": null
    },
    "education": [
      {
        "level": "Bachelor\u0027s",
        "qualification": "BTECH/BE - Any Discipline",
        "raw": "Bachelors Degree",
        "requirement": "required"
      }
    ],
    "experience": {
      "max": null,
      "min": 5,
      "raw": "5+ years"
    },
    "job_locations": [
      {
        "aliases": [
          "Madras"
        ],
        "city": "Chennai",
        "country": "India",
        "state": null,
        "work_mode": "hybrid"
      },
      {
        "aliases": [
          "Bengaluru"
        ],
        "city": "Bangalore",
        "country": "India",
        "state": "Karnataka",
        "work_mode": "hybrid"
      }
    ],
    "role": "ETL Informatica Developer",
    "role_aliases": [
      "Informatica Developer",
      "ETL Developer",
      "Data Integration Developer"
    ],
    "role_archetype": "Engineering",
    "roles_and_responsibilities": [
      {
        "bullet_count": 13,
        "heading": "Job Responsibilities",
        "heading_was_present": true,
        "source_marker": {
          "first_5_words": "\u2022 New Informatica development for",
          "last_5_words": "via Helpdesk tools."
        },
        "text": "\u2022 New Informatica development for insurance related applications and business as per their requirements and maintenance activities to support ETL Solutions.\n\u2022 To handle Informatica production support issues with thorough research on the root cause and provide solution at the quickest.\n\u2022 Interact with business analysts and project managers to understand business needs.\n\u2022 Analyze business requirements and transform into technical design.\n\u2022 Create and update Informatica Fact Sheets for any new request or code changes.\n\u2022 Work with team members located on-shore and off-shore.\n\u2022 Work with Oracle and SQL Server Databases.\n\u2022 Interface with Informatica and Database Administration groups.\n\u2022 Application support and troubleshooting of ETL issues.\n\u2022 Proactively provide ideas and solutions to automate and reduce support activities.\n\u2022 Provide support to Oracle / SQL Server DBA\u0027s in case of any production failures.\n\u2022 Implement performance tuning of source, target, mappings and sessions to improvise the production run and make the loads efficient.\n\u2022 Participate in Agile meetings on a daily basis and follow the Agile process using JIRA tool.\n\u2022 In case of any code change for existing Informatica logic, follow the process from Dev, QA, Prod deployment, test results and approval via Helpdesk tools.",
        "word_count": 218
      }
    ],
    "urls": [
      {
        "type": "website",
        "url": "http://www.kumaran.com"
      }
    ]
  },
  "rejected": false,
  "rejection_reason": null,
  "run_id": "85d69f49-1864-4499-87de-d5e60489df7c",
  "stage3_signals": {
    "alias_found": true,
    "alias_match_roles": [
      {
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      },
      {
        "display_name": "ETL / ELT Developer",
        "kra_matches": null,
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        "role_id": 50,
        "score": 1.0,
        "slug": "etl-elt-developer",
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      }
    ],
    "kra_match_roles": [
      {
        "display_name": "Backend Developer",
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          {
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            "kra_text": "Identifies and resolves backend performance bottlenecks through query optimization, indexing strategies, connection pooling, and distributed caching with Redis.",
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        ],
        "matched_count": null,
        "matched_skills": null,
        "role_id": 1,
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      },
      {
        "display_name": "Data Engineer",
        "kra_matches": [
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            "similarity": 0.5762
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            "similarity": 0.5025
          },
          {
            "kra_text": "Optimizes pipeline throughput, partitioning strategies, and query performance across cloud data warehouses like Snowflake, BigQuery, or Redshift.",
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        ],
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        "total_count": null
      },
      {
        "display_name": "Java Backend Developer",
        "kra_matches": [
          {
            "kra_text": "backend performance tuning",
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          },
          {
            "kra_text": "code refactoring and defect fixes",
            "sentence": "In case of any code change for existing Informatica logic, follow the process from Dev, QA, Prod deployment, test results and approval via Helpdesk tools.",
            "similarity": 0.4628
          },
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            "kra_text": "persistence and data modeling",
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          }
        ],
        "matched_count": null,
        "matched_skills": null,
        "role_id": 79,
        "score": 0.5192,
        "slug": "java-backend-developer",
        "total_count": null
      },
      {
        "display_name": "Flutter Developer",
        "kra_matches": [
          {
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            "similarity": 0.5604
          },
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            "kra_text": "optimize responsiveness and performance",
            "sentence": "Implement performance tuning of source, target, mappings and sessions to improvise the production run and make the loads efficient.",
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          },
          {
            "kra_text": "collaborate with design, product, and backend teams",
            "sentence": "Work with team members located on-shore and off-shore.",
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          }
        ],
        "matched_count": null,
        "matched_skills": null,
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        "score": 0.5126,
        "slug": "flutter-developer",
        "total_count": null
      },
      {
        "display_name": "Pega Developer",
        "kra_matches": [
          {
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          },
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            "sentence": "Interact with business analysts and project managers to understand business needs.",
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          },
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            "kra_text": "Requirements analysis and process translation",
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          }
        ],
        "matched_count": null,
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        "role_id": 24,
        "score": 0.5118,
        "slug": "pega-developer",
        "total_count": null
      }
    ],
    "skill_match_roles": [
      {
        "display_name": "Backend Developer",
        "kra_matches": null,
        "matched_count": 1,
        "matched_skills": [
          "SQL Server"
        ],
        "role_id": 1,
        "score": 0.1667,
        "slug": "backend-engineer",
        "total_count": 6
      },
      {
        "display_name": "Data Engineer",
        "kra_matches": null,
        "matched_count": 1,
        "matched_skills": [
          "Informatica"
        ],
        "role_id": 2,
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        "total_count": 6
      },
      {
        "display_name": "Python Backend Developer",
        "kra_matches": null,
        "matched_count": 1,
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          "SQL Server"
        ],
        "role_id": 80,
        "score": 0.1667,
        "slug": "python-backend-developer",
        "total_count": 6
      },
      {
        "display_name": "Node.js Backend Developer",
        "kra_matches": null,
        "matched_count": 1,
        "matched_skills": [
          "SQL Server"
        ],
        "role_id": 82,
        "score": 0.1667,
        "slug": "node-backend-developer",
        "total_count": 6
      },
      {
        "display_name": ".NET Backend Developer",
        "kra_matches": null,
        "matched_count": 1,
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          "SQL Server"
        ],
        "role_id": 83,
        "score": 0.1667,
        "slug": "dotnet-backend-developer",
        "total_count": 6
      }
    ]
  },
  "stage4_decision": {
    "alias_collision_detected": false,
    "case": "DOMAIN",
    "chosen_role": {
      "display_name": "ETL / ELT Developer",
      "kra_matches": null,
      "matched_count": null,
      "matched_skills": null,
      "role_id": 50,
      "score": 0.99,
      "slug": "etl-elt-developer",
      "total_count": null
    },
    "confidence": 0.99,
    "is_new_role": false,
    "llm2_fired": false,
    "llm2_reasoning": null,
    "matched_dimensions": [
      "ETL Development",
      "Production Support",
      "Database Integration",
      "Technical Design Translation",
      "Performance Optimization",
      "Agile Delivery"
    ],
    "matched_kras": [
      "New Informatica development for insurance related applications",
      "Handle Informatica production support issues",
      "Analyze business requirements and transform into technical design",
      "Create and update Informatica Fact Sheets",
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      "Implement performance tuning of source, target, mappings and sessions",
      "Follow the Agile process using JIRA tool",
      "follow the process from Dev, QA, Prod deployment"
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    "matched_skills": [
      "Informatica",
      "Oracle",
      "SQL Server",
      "JIRA",
      "ETL Solutions",
      "Fact Sheets",
      "Agile",
      "production support",
      "performance tuning",
      "root cause"
    ],
    "new_role_display_name": null,
    "new_role_slug": null,
    "queued": false,
    "reasoning": "Domain=Data Engineering \u0026 Analytics; The JD is centered on Informatica-based ETL development, production support, database integration, and deployment for ETL solutions.",
    "sub_role": null
  },
  "stage5_updates": {
    "centroid_n_after": 14,
    "centroid_updated": true,
    "collision_log_id": null,
    "new_kra_attached": {
      "best_kra_similarity": 0.0,
      "queue_id": 1543,
      "r_and_r_preview": "\u2022 New Informatica development for insurance related applications and business as per their requirements and maintenance activities to support ETL Solutions.\n\u2022 To handle Informatica production support ",
      "role_display_name": "ETL / ELT Developer",
      "role_slug": "etl-elt-developer",
      "status": "pending"
    },
    "new_skills_attached": [
      {
        "is_primary": true,
        "queue_id": 20680,
        "role_display_name": "ETL / ELT Developer",
        "role_slug": "etl-elt-developer",
        "skill_name": "ETL",
        "status": "pending"
      },
      {
        "is_primary": true,
        "queue_id": 20681,
        "role_display_name": "ETL / ELT Developer",
        "role_slug": "etl-elt-developer",
        "skill_name": "Oracle",
        "status": "pending"
      },
      {
        "is_primary": false,
        "queue_id": 20682,
        "role_display_name": "ETL / ELT Developer",
        "role_slug": "etl-elt-developer",
        "skill_name": "Performance Tuning",
        "status": "pending"
      },
      {
        "is_primary": true,
        "queue_id": 20683,
        "role_display_name": "ETL / ELT Developer",
        "role_slug": "etl-elt-developer",
        "skill_name": "JIRA",
        "status": "pending"
      },
      {
        "is_primary": false,
        "queue_id": 20684,
        "role_display_name": "ETL / ELT Developer",
        "role_slug": "etl-elt-developer",
        "skill_name": "Dev",
        "status": "pending"
      },
      {
        "is_primary": false,
        "queue_id": 20685,
        "role_display_name": "ETL / ELT Developer",
        "role_slug": "etl-elt-developer",
        "skill_name": "QA",
        "status": "pending"
      },
      {
        "is_primary": false,
        "queue_id": 20686,
        "role_display_name": "ETL / ELT Developer",
        "role_slug": "etl-elt-developer",
        "skill_name": "Prod",
        "status": "pending"
      },
      {
        "is_primary": false,
        "queue_id": 20687,
        "role_display_name": "ETL / ELT Developer",
        "role_slug": "etl-elt-developer",
        "skill_name": "Helpdesk",
        "status": "pending"
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    ],
    "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_persisted": false,
      "existing_alias_id": 311,
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      "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": 135,
      "existing_alias_text": "SQL Server",
      "input_term": "SQL Server",
      "matched_canonical": {
        "category_id": 3,
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        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "TOOL",
        "slug": "sql-server",
        "sub_category_id": 29,
        "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": 2059,
      "existing_alias_text": "Database Administration",
      "input_term": "Database Administration",
      "matched_canonical": {
        "category_id": 37,
        "display_name": "Database Administration",
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        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "CONCEPT",
        "slug": "database-administration",
        "sub_category_id": 1040,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "matched_via": "alias"
    },
    {
      "alias_persist_skipped_reason": "TODO: REMOVE AFTER TESTING \u2014 alias DB write disabled",
      "alias_persisted": false,
      "existing_alias_id": 5584,
      "existing_alias_text": "Query Tuning",
      "input_term": "Performance Tuning",
      "matched_canonical": {
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        "display_name": "query tuning",
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        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "CONCEPT",
        "slug": "query-tuning",
        "sub_category_id": 3067,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "matched_via": "embedding_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",
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        "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",
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      "role_archetype": null,
      "slug": "data-engineer",
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    },
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    },
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      "display_name": "Kotlin Backend Developer",
      "id": 84,
      "rationale": null,
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      "display_name": "Node.js Backend Developer",
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      "rationale": null,
      "role_archetype": "Engineering",
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      "display_name": "Python Backend Developer",
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      "rationale": null,
      "role_archetype": "Engineering",
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    },
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      "display_name": "Ruby Backend Developer",
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      "rationale": null,
      "role_archetype": "Engineering",
      "slug": "ruby-backend-developer",
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    },
    {
      "display_name": "Scala Backend Developer",
      "id": 87,
      "rationale": null,
      "role_archetype": "Engineering",
      "slug": "scala-backend-developer",
      "source": "db"
    },
    {
      "display_name": "Engineering Manager",
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      "rationale": null,
      "role_archetype": null,
      "slug": "engineering-manager",
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  "chosen_role": {
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    "rationale": "Domain=Data Engineering \u0026 Analytics; The JD is centered on Informatica-based ETL development, production support, database integration, and deployment for ETL solutions.",
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    "slug": "etl-elt-developer",
    "source": "db"
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  "dimensions": [
    {
      "dimension": {
        "difficulty_hint": "well_known",
        "display_name": "ETL and ELT Tooling",
        "id": 24,
        "rationale": "Packaged tools for extracting, loading, and transforming data across systems. This dimension covers connector-based ingestion, transformation frameworks, and managed integration products.",
        "slug": "etl-and-elt-tooling",
        "source": "db"
      },
      "input_skill": "Informatica",
      "llm_role": null,
      "roles_from_db": [
        {
          "display_name": "Data Engineer",
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      ]
    },
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        "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": "SQL Server",
      "llm_role": null,
      "roles_from_db": [
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          "display_name": ".NET 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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          "slug": "python-backend-developer",
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        },
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          "display_name": "Ruby Backend Developer",
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          "rationale": null,
          "role_archetype": "Engineering",
          "slug": "ruby-backend-developer",
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        },
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          "display_name": "Scala Backend Developer",
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          "rationale": null,
          "role_archetype": "Engineering",
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      ]
    },
    {
      "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": "Database Administration",
      "llm_role": null,
      "roles_from_db": []
    },
    {
      "dimension": {
        "difficulty_hint": "well_known",
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        "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": "Performance Tuning",
      "llm_role": null,
      "roles_from_db": [
        {
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        },
        {
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        {
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          "role_archetype": "Engineering",
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        },
        {
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      ]
    },
    {
      "dimension": {
        "difficulty_hint": "well_known",
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        "rationale": "Building interactive web user interfaces with React.js, including component composition, state management, hooks, and rendering patterns. React.js belongs here because it is a core library for client-side UI development in modern web applications.",
        "slug": "d_init_01",
        "source": "db"
      },
      "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.",
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        "source": "db"
      },
      "input_skill": "Agile",
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      "roles_from_db": [
        {
          "display_name": "Engineering Manager",
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      ]
    }
  ],
  "input_final_skills": [
    "Informatica",
    "ETL",
    "Oracle",
    "SQL Server",
    "Database Administration",
    "Performance Tuning",
    "Agile",
    "JIRA",
    "Dev",
    "QA",
    "Prod",
    "Helpdesk"
  ],
  "input_llm_skills": [
    "Informatica",
    "ETL",
    "Oracle",
    "SQL Server",
    "Database Administration",
    "Performance Tuning",
    "Agile",
    "JIRA",
    "Dev",
    "QA",
    "Prod",
    "Helpdesk"
  ],
  "new_aliases_persisted": 0,
  "run_id": "85d69f49-1864-4499-87de-d5e60489df7c",
  "skills_detail": [
    {
      "aliases_in_db": [
        {
          "alias_text": "Informatica",
          "alias_type": "CANONICAL",
          "id": 311,
          "is_primary": true,
          "match_strategy": "CASE_INSENSITIVE"
        }
      ],
      "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"
      },
      "dimensions": [
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "ETL and ELT Tooling",
            "id": 24,
            "rationale": "Packaged tools for extracting, loading, and transforming data across systems. This dimension covers connector-based ingestion, transformation frameworks, and managed integration products.",
            "slug": "etl-and-elt-tooling",
            "source": "db"
          },
          "input_skill": "Informatica",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "Data Engineer",
              "id": 2,
              "rationale": null,
              "role_archetype": null,
              "slug": "data-engineer",
              "source": "db"
            }
          ]
        }
      ],
      "input_skill": "Informatica",
      "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": [],
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      "dimensions": [],
      "input_skill": "ETL",
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      "new_skill_meta": {
        "derived": {
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          "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": "etl",
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        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
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    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "Oracle",
      "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": "oracle",
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        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [
        {
          "alias_text": "SQL Server",
          "alias_type": "CANONICAL",
          "id": 135,
          "is_primary": true,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "SQL Server 2000",
          "alias_type": "VERSION",
          "id": 138,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "SQL Server 2005",
          "alias_type": "VERSION",
          "id": 139,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "SQL Server 2008",
          "alias_type": "VERSION",
          "id": 140,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "SQL Server 2012",
          "alias_type": "VERSION",
          "id": 141,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "SQL Server 2014",
          "alias_type": "VERSION",
          "id": 142,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "SQL Server 2016",
          "alias_type": "VERSION",
          "id": 143,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "SQL Server 2017",
          "alias_type": "VERSION",
          "id": 144,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "SQL Server 2019",
          "alias_type": "VERSION",
          "id": 145,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "SQL Server 2022",
          "alias_type": "VERSION",
          "id": 146,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "SQL Server 6.5",
          "alias_type": "VERSION",
          "id": 136,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "SQL Server 7.0",
          "alias_type": "VERSION",
          "id": 137,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        }
      ],
      "canonical": {
        "category_id": 3,
        "display_name": "SQL Server",
        "id": 18,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "TOOL",
        "slug": "sql-server",
        "sub_category_id": 29,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "dimensions": [
        {
          "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"
          },
          "input_skill": "SQL Server",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": ".NET Backend Developer",
              "id": 83,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "dotnet-backend-developer",
              "source": "db"
            },
            {
              "display_name": "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"
            }
          ]
        }
      ],
      "input_skill": "SQL Server",
      "matched_via": "alias",
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": null,
      "source_tag": "db",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [
        {
          "alias_text": "Database Administration",
          "alias_type": "CANONICAL",
          "id": 2059,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        }
      ],
      "canonical": {
        "category_id": 37,
        "display_name": "Database Administration",
        "id": 1374,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "CONCEPT",
        "slug": "database-administration",
        "sub_category_id": 1040,
        "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": "Database Administration",
          "llm_role": null,
          "roles_from_db": []
        }
      ],
      "input_skill": "Database Administration",
      "matched_via": "alias",
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": null,
      "source_tag": "db",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [
        {
          "alias_text": "query tuning",
          "alias_type": "CANONICAL",
          "id": 5119,
          "is_primary": true,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "Query Tuning",
          "alias_type": "CANONICAL",
          "id": 5584,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        }
      ],
      "canonical": {
        "category_id": 2,
        "display_name": "query tuning",
        "id": 3553,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "CONCEPT",
        "slug": "query-tuning",
        "sub_category_id": 3067,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "dimensions": [
        {
          "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"
          },
          "input_skill": "Performance Tuning",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": ".NET Backend Developer",
              "id": 83,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "dotnet-backend-developer",
              "source": "db"
            },
            {
              "display_name": "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"
            }
          ]
        }
      ],
      "input_skill": "Performance Tuning",
      "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": [
        {
          "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": "JIRA",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Project Management Tools",
          "skill_nature": "TOOL",
          "sub_category": "general",
          "typical_lifespan": "MULTI_YEAR",
          "version_strategy": "UNVERSIONED",
          "volatility": "MEDIUM"
        },
        "enrichment": null,
        "keep_log": [],
        "locked_dimensions": [],
        "merge_log": [],
        "placed": null,
        "relationships": null,
        "skill_id": "jira",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "Dev",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Soft Skills",
          "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": "dev",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "QA",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Testing 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": "qa",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "Prod",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Infrastructure Tools",
          "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": "prod",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "Helpdesk",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Support 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": "helpdesk",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    }
  ],
  "unmatched_skills": [
    "ETL",
    "Oracle",
    "JIRA",
    "Dev",
    "QA",
    "Prod",
    "Helpdesk"
  ]
}
API 3 — final-role-output 
{
  "chosen_role": {
    "display_name": "ETL / ELT Developer",
    "id": 50,
    "rationale": "Domain=Data Engineering \u0026 Analytics; The JD is centered on Informatica-based ETL development, production support, database integration, and deployment for ETL solutions.",
    "role_archetype": "Data",
    "slug": "etl-elt-developer",
    "source": "db"
  },
  "chosen_role_resolution": "in_db",
  "final_input_skills": [
    {
      "skill": "Informatica",
      "tag": "in_db"
    },
    {
      "skill": "ETL",
      "tag": "new"
    },
    {
      "skill": "Oracle",
      "tag": "new"
    },
    {
      "skill": "SQL Server",
      "tag": "in_db"
    },
    {
      "skill": "Database Administration",
      "tag": "in_db"
    },
    {
      "skill": "Performance Tuning",
      "tag": "in_db"
    },
    {
      "skill": "Agile",
      "tag": "in_db"
    },
    {
      "skill": "JIRA",
      "tag": "new"
    },
    {
      "skill": "Dev",
      "tag": "new"
    },
    {
      "skill": "QA",
      "tag": "new"
    },
    {
      "skill": "Prod",
      "tag": "new"
    },
    {
      "skill": "Helpdesk",
      "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": 50,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "ETL and ELT Tooling",
          "id": 24,
          "rationale": "Packaged tools for extracting, loading, and transforming data across systems. This dimension covers connector-based ingestion, transformation frameworks, and managed integration products.",
          "slug": "etl-and-elt-tooling",
          "source": "db"
        },
        "dimension_id": 24,
        "input_skill": "Informatica",
        "llm_role": null,
        "matched_chosen_role": false,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
        "role_dimension_saved": false,
        "roles_from_db": [
          {
            "display_name": "Data Engineer",
            "id": 2,
            "rationale": null,
            "role_archetype": null,
            "slug": "data-engineer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 117,
        "skill_tag": "in_db",
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