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Pipeline run

830af4dd-521f-4397-8fa6-1f6e66efd5c8

Pipeline LLM cost (USD)
API 1: $0.0083 API 2: $0.0003 API 3: $0.0000 Total: $0.0086

Client output enrichment

v2 Skill cluster · Nature of work · AI index · Tech stack maturity · Evidence · KRA description
Nature of work · Data Engineering / BI
Build and maintain ETL pipelines and BI reporting solutions that move data into the warehouse, then create semantic layers, dashboards, and user-facing analytics for business analysis; also work on extraction, security, performance, and metadata upkeep.
""develops ETL and reporting solutions as per the requirements.""
Tech stack maturity
Mainstream Legacy
The skill set centers on established BI and data-integration tools like Informatica, PL/SQL, SQL, and Power BI, which are widely used in traditional enterprise analytics stacks rather than cloud-native or bleeding-edge platforms.
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)
ETL Reporting Data Warehouse SQL PL/SQL SAP Data Services Informatica IBM DataStage SAP BusinessObjects Power BI Cognos Data Modeling
Skill cluster (1 dimension groups, role-scoped)
Cross-cutting / unaligned
ETL Reporting Data Warehouse SQL PL/SQL SAP Data Services Informatica IBM DataStage SAP BusinessObjects Power BI Cognos Data Modeling
Show KRA description ↓
Business Analytics application developer develops ETL and reporting solutions as per the requirements. A developer ensures that data reliably loads from various sources into the warehouse. Responsible for developing users interfaces that enable businesses to analyze the data using a user-friendly interface. Developer uses various ETL and Reporting tools to deliver best in class Business Intelligence solutions. Work with the source system analysts to understand the business process, data relationships, and windows available for data extraction. Program, test, implement and maintain any data extraction programs necessary to extract the data from source systems and move to the data warehouse.Develops business universes (semantic layer for ad-hoc reporting), reports, dashboards, and other business user-facing analytics solutions. Work with the security team to secure the data.Work with the System, Database, and Application Administrators to ensure that the application performs within the defined performance parameters. Populate and maintain the metadata repository with up-to-date technical metadata such as data sources and transformation rules applied.Adhere to the organizational development process and standards. Bachelors/Masters degree with a minimum of 8 years of experience Include demonstrated competencies and physical, mental, & interpersonal skills.Experience in data analysis using SQL/PL-SQL. Experience in ETL tools such as Data Services, Informatica, Datastage, etc.Experience in reporting tools such as Business Objects, Power BI, Cognos. Familiarity with data modeling techniques

Signals

Skill data-engineer
0.27
Alias bi-developer
1.00
KRA data-engineer
0.61

Post-classification

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

Captured for admin review

ETL primary BI Developer pending
Reporting primary BI Developer pending
Data Warehouse primary BI Developer pending
SAP Data Services primary BI Developer pending
IBM DataStage primary BI Developer pending
SAP BusinessObjects primary BI Developer pending
Cognos primary BI Developer pending
Data Modeling BI Developer pending
R&R fragment (sim 0.00) BI Developer pending

Business Analytics application developer develops ETL and reporting solutions as per the requirements. A developer ensures that data reliably loads from various sources into the warehouse. Responsible…

Status: completed Created: 2026-05-27T17:42:21.668870Z Updated: 2026-06-07T08:00:37.944506Z API 3 duration: 3078 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

BI Developer

domain · Data Engineering & Analytics CASE DOMAIN

slug: bi-developer · id: 147 · source: db

Domain=Data Engineering & Analytics; The JD centers on BI reporting, dashboards, semantic layers, and user-facing analytics solutions, which most strongly matches BI Developer responsibilities.

Matched skills

ETLSQL/PL-SQLData ServicesInformaticaDatastageBusiness ObjectsPower BICognosdata modeling

Matched dimensions

Business Intelligence DevelopmentETL and Data ExtractionReporting and Dashboard DevelopmentSemantic Layer / Ad-hoc ReportingData Warehouse IntegrationMetadata ManagementData Security CollaborationPerformance Tuning and Support

Matched KRAs

develops ETL and reporting solutionsensure that data reliably loads from various sourcesdeveloping users interfaces for data analysisdevelops business universesreports, dashboards, and other business user-facing analytics solutionsextract the data from source systems and move to the data warehousesecure the datapopulate and maintain the metadata repository

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
2
Skipped

Job description

Everyone communicates. It’s the essence of the human experience. How we communicate is evolving. Technology is reshaping the way we live, learn and thrive. The epicenter of this transformation is the network—our passion.

Our experts are rethinking the purpose, role, and usage of networks to help our customers increase bandwidth, expand capacity, enhance efficiency, speed deployment, and simplify migration. From remote cell sites to massive sports arenas, from busy airports to state-of-the-art data centers—we provide the essential expertise and vital infrastructure your business needs to succeed. The world’s most advanced networks rely on CommScope connectivity

Job Title: Application Developer, BI

Job Location: Hyderabad /Goa

General Summary

Business Analytics application developer develops ETL and reporting solutions as per the requirements. A developer ensures that data reliably loads from various sources into the warehouse. Responsible for developing users interfaces that enable businesses to analyze the data using a user-friendly interface. Developer uses various ETL and Reporting tools to deliver best in class Business Intelligence solutions.

Duties & Responsibilities
Work with the source system analysts to understand the business process, data relationships, and windows available for data extraction. Program, test, implement and maintain any data extraction programs necessary to extract the data from source systems and move to the data warehouse.Develops business universes (semantic layer for ad-hoc reporting), reports, dashboards, and other business user-facing analytics solutions. Work with the security team to secure the data.Work with the System, Database, and Application Administrators to ensure that the application performs within the defined performance parameters. Populate and maintain the metadata repository with up-to-date technical metadata such as data sources and transformation rules applied.Adhere to the organizational development process and standards.
Skills Required
Bachelors/Masters degree with a minimum of 8 years of experience Include demonstrated competencies and physical, mental, & interpersonal skills.Experience in data analysis using SQL/PL-SQL. Experience in ETL tools such as Data Services, Informatica, Datastage, etc.Experience in reporting tools such as Business Objects, Power BI, Cognos. Familiarity with data modeling techniques
Commscope is an Equal Opportunity Employer.

6929569295

Skills from this JD

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

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
Reporting 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
Business Intelligence Tools
Sub-category
general
Skill nature
PRACTICE
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Data Warehouse 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
STABLE
Typical lifespan
EVERGREEN
Version strategy
UNVERSIONED
SQL Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: SQL id=101 · sql

Aliases — catalog

  • SQL (CANONICAL) primary

Context tags (catalog)

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

Stored enrichment (catalog DB)

Category
Language
Sub-category
Query Language
Vendor
ANSI
License
unknown
Year introduced
1974
Confidence
0.99
Version strategy
NOT_APPLICABLE

Maturity reasoning: SQL appears in a large share of data, backend, and analytics job descriptions and remains the default query language for PostgreSQL, MySQL, and cloud warehouses like Snowflake/BigQuery.

Skill profile (library / DB)

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

Dimensions (API 2 worklist)

  • Pega Programming Languages & DSLs Catalog dimension db id 267

    Library dimension (catalog)

    Roles linked in library: Pega Developer

  • Programming Languages & DSLs Catalog dimension db id 475

    Library dimension (catalog)

    Roles linked in library: Engineering Manager

  • Programming Languages for Data Work Catalog dimension db id 21

    Library dimension (catalog)

    Roles linked in library: Data Engineer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Pega Programming Languages & DSLs
pega-programming-languages-dsls
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Programming Languages & DSLs
programming-languages-dsls
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Programming Languages for Data Work
programming-languages-for-data-work
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
PL/SQL Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: PL/SQL id=1567 · pl-sql

Aliases — catalog

  • PL/SQL (CANONICAL)

Context tags (catalog)

Oracle PL/SQL blocks SQL*Plus bulk collect cursors data manipulation data types dynamic SQL exception handling functions packages performance tuning stored procedures transaction control triggers

Stored enrichment (catalog DB)

Category
Language
Sub-category
Procedural Sql Language
Vendor
Oracle Corporation
License
proprietary
Year introduced
1990
Confidence
0.99
Version strategy
NOT_APPLICABLE

Maturity reasoning: PL/SQL appears frequently in Oracle-focused job postings and remains a standard skill for Oracle database development and maintenance; it is not sunset or replaced by a newer successor.

Skill profile (library / DB)

Skill nature
LANGUAGE
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
6
Sub-category id
1173
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)
SAP Data Services 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
TOOL
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
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)
IBM DataStage 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
TOOL
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
SAP BusinessObjects 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
Business Intelligence Tools
Sub-category
general
Skill nature
TOOL
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Power BI Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Power BI id=151 · power-bi

Aliases — catalog

  • Power BI (CANONICAL) primary

Context tags (catalog)

Azure Synapse DAX DirectQuery Import mode M language Power Query RLS SQL Server SSAS dashboard data modeling data warehouse gateway reporting star schema

Stored enrichment (catalog DB)

Category
Platform
Sub-category
Bi Analytics Platform
Vendor
Microsoft
License
proprietary
Year introduced
2015
Confidence
0.96
Version strategy
NOT_APPLICABLE

Maturity reasoning: Power BI appears frequently in BI/data analyst job descriptions and is a standard Microsoft analytics platform in enterprise stacks, with strong vendor support and broad adoption.

Skill profile (library / DB)

Skill nature
PLATFORM
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
9
Sub-category id
111
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • BI and Visualization Tools Catalog dimension db id 31

    Library dimension (catalog)

    Roles linked in library: Data Engineer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
BI and Visualization Tools
bi-and-visualization-tools
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Cognos 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
Business Intelligence Tools
Sub-category
general
Skill nature
TOOL
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Data Modeling Secondary 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

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
SQL in_db
Pega Programming Languages & DSLs
pega-programming-languages-dsls
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
SQL in_db
Programming Languages & DSLs
programming-languages-dsls
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
SQL in_db
Programming Languages for Data Work
programming-languages-for-data-work
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
PL/SQL in_db
React Frontend Development
d_init_01
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Informatica in_db
ETL and ELT Tooling
etl-and-elt-tooling
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Power BI in_db
BI and Visualization Tools
bi-and-visualization-tools
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
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 ETL | type=Data Engineering Tools subtype=general nature=PRACTICE lifespan=MULTI_YEAR
canonical_skill_proposed Reporting | type=Business Intelligence Tools subtype=general nature=PRACTICE lifespan=MULTI_YEAR
canonical_skill_proposed Data Warehouse | type=Data Engineering Tools subtype=general nature=CONCEPT lifespan=EVERGREEN
canonical_skill_proposed SAP Data Services | type=Data Engineering Tools subtype=general nature=TOOL lifespan=MULTI_YEAR
canonical_skill_proposed IBM DataStage | type=Data Engineering Tools subtype=general nature=TOOL lifespan=MULTI_YEAR
canonical_skill_proposed SAP BusinessObjects | type=Business Intelligence Tools subtype=general nature=TOOL lifespan=MULTI_YEAR
canonical_skill_proposed Cognos | type=Business Intelligence Tools subtype=general nature=TOOL lifespan=MULTI_YEAR
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
RoleApplication Developer, BI
CompanyCommScope
Experienceminimum of 8 years of experience
DomainIT Services & Consulting
Location Hyderabad, India
JD type pass
Show raw JSON
{
  "JD_type": "pass",
  "about_company": {
    "source_marker": {
      "first_5_words": "Everyone communicates. It\u2019s the essence",
      "last_5_words": "the world\u2019s most advanced networks rely"
    },
    "text": "Everyone communicates. It\u2019s the essence of the human experience. How we communicate is evolving. Technology is reshaping the way we live, learn and thrive. The epicenter of this transformation is the network\u2014our passion.\n\nOur experts are rethinking the purpose, role, and usage of networks to help our customers increase bandwidth, expand capacity, enhance efficiency, speed deployment, and simplify migration. From remote cell sites to massive sports arenas, from busy airports to state-of-the-art data centers\u2014we provide the essential expertise and vital infrastructure your business needs to succeed. The world\u2019s most advanced networks rely on CommScope connectivity.",
    "word_count": 116
  },
  "certifications": [],
  "company_name": "CommScope",
  "ctc": null,
  "domain": {
    "primary": {
      "aliases": [
        "ITES",
        "BPO"
      ],
      "domain": "IT Services \u0026 Consulting"
    },
    "secondary": null
  },
  "education": [
    {
      "level": "Bachelor\u0027s",
      "qualification": "BTECH/BE/BSC - Any Discipline",
      "raw": "Bachelors/Masters degree",
      "requirement": "required"
    }
  ],
  "experience": {
    "max": null,
    "min": 8,
    "raw": "minimum of 8 years of experience"
  },
  "job_locations": [
    {
      "aliases": [
        "Hyderabad, AP"
      ],
      "city": "Hyderabad",
      "country": "India",
      "state": null,
      "work_mode": null
    },
    {
      "aliases": [],
      "city": "Goa",
      "country": "India",
      "state": null,
      "work_mode": null
    }
  ],
  "role": "Application Developer, BI",
  "role_aliases": [
    "BI Developer",
    "Business Intelligence Developer",
    "Data Developer"
  ],
  "role_archetype": "Data",
  "roles_and_responsibilities": [
    {
      "bullet_count": 0,
      "heading": "General Summary",
      "heading_was_present": true,
      "source_marker": {
        "first_5_words": "Business Analytics application developer develops",
        "last_5_words": "best in class Business Intelligence solutions."
      },
      "text": "Business Analytics application developer develops ETL and reporting solutions as per the requirements. A developer ensures that data reliably loads from various sources into the warehouse. Responsible for developing users interfaces that enable businesses to analyze the data using a user-friendly interface. Developer uses various ETL and Reporting tools to deliver best in class Business Intelligence solutions.",
      "word_count": 54
    },
    {
      "bullet_count": 0,
      "heading": "Duties \u0026 Responsibilities",
      "heading_was_present": true,
      "source_marker": {
        "first_5_words": "Work with the source system",
        "last_5_words": "development process and standards."
      },
      "text": "Work with the source system analysts to understand the business process, data relationships, and windows available for data extraction. Program, test, implement and maintain any data extraction programs necessary to extract the data from source systems and move to the data warehouse.Develops business universes (semantic layer for ad-hoc reporting), reports, dashboards, and other business user-facing analytics solutions. Work with the security team to secure the data.Work with the System, Database, and Application Administrators to ensure that the application performs within the defined performance parameters. Populate and maintain the metadata repository with up-to-date technical metadata such as data sources and transformation rules applied.Adhere to the organizational development process and standards.",
      "word_count": 104
    },
    {
      "bullet_count": 0,
      "heading": "Skills Required",
      "heading_was_present": true,
      "source_marker": {
        "first_5_words": "Bachelors/Masters degree with a minimum",
        "last_5_words": "data modeling techniques"
      },
      "text": "Bachelors/Masters degree with a minimum of 8 years of experience Include demonstrated competencies and physical, mental, \u0026 interpersonal skills.Experience in data analysis using SQL/PL-SQL. Experience in ETL tools such as Data Services, Informatica, Datastage, etc.Experience in reporting tools such as Business Objects, Power BI, Cognos. Familiarity with data modeling techniques",
      "word_count": 56
    }
  ],
  "urls": []
}
API 1 — extract-from-jd click to toggle
{
  "final_skills": [
    {
      "is_primary": true,
      "skill_name": "ETL"
    },
    {
      "is_primary": true,
      "skill_name": "Reporting"
    },
    {
      "is_primary": true,
      "skill_name": "Data Warehouse"
    },
    {
      "is_primary": true,
      "skill_name": "SQL"
    },
    {
      "is_primary": true,
      "skill_name": "PL/SQL"
    },
    {
      "is_primary": true,
      "skill_name": "SAP Data Services"
    },
    {
      "is_primary": true,
      "skill_name": "Informatica"
    },
    {
      "is_primary": true,
      "skill_name": "IBM DataStage"
    },
    {
      "is_primary": true,
      "skill_name": "SAP BusinessObjects"
    },
    {
      "is_primary": true,
      "skill_name": "Power BI"
    },
    {
      "is_primary": true,
      "skill_name": "Cognos"
    },
    {
      "is_primary": false,
      "skill_name": "Data Modeling"
    }
  ],
  "jd_role": {
    "display_name": "Application Developer, BI",
    "rationale": null,
    "role_aliases": [
      "BI Developer",
      "Business Intelligence Developer",
      "Data Developer"
    ],
    "role_archetype": "Data",
    "slug": ""
  },
  "nano_parsed": {
    "JD_type": "pass",
    "about_company": {
      "source_marker": {
        "first_5_words": "Everyone communicates. It\u2019s the essence",
        "last_5_words": "the world\u2019s most advanced networks rely"
      },
      "text": "Everyone communicates. It\u2019s the essence of the human experience. How we communicate is evolving. Technology is reshaping the way we live, learn and thrive. The epicenter of this transformation is the network\u2014our passion.\n\nOur experts are rethinking the purpose, role, and usage of networks to help our customers increase bandwidth, expand capacity, enhance efficiency, speed deployment, and simplify migration. From remote cell sites to massive sports arenas, from busy airports to state-of-the-art data centers\u2014we provide the essential expertise and vital infrastructure your business needs to succeed. The world\u2019s most advanced networks rely on CommScope connectivity.",
      "word_count": 116
    },
    "certifications": [],
    "company_name": "CommScope",
    "ctc": null,
    "domain": {
      "primary": {
        "aliases": [
          "ITES",
          "BPO"
        ],
        "domain": "IT Services \u0026 Consulting"
      },
      "secondary": null
    },
    "education": [
      {
        "level": "Bachelor\u0027s",
        "qualification": "BTECH/BE/BSC - Any Discipline",
        "raw": "Bachelors/Masters degree",
        "requirement": "required"
      }
    ],
    "experience": {
      "max": null,
      "min": 8,
      "raw": "minimum of 8 years of experience"
    },
    "job_locations": [
      {
        "aliases": [
          "Hyderabad, AP"
        ],
        "city": "Hyderabad",
        "country": "India",
        "state": null,
        "work_mode": null
      },
      {
        "aliases": [],
        "city": "Goa",
        "country": "India",
        "state": null,
        "work_mode": null
      }
    ],
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}
API 2 — extract-details
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      "alias_persist_skipped_reason": "TODO: REMOVE AFTER TESTING \u2014 alias DB write disabled",
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    },
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          "rationale": null,
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          "slug": "scala-backend-developer",
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      ]
    }
  ],
  "input_final_skills": [
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    "Reporting",
    "Data Warehouse",
    "SQL",
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    "Informatica",
    "IBM DataStage",
    "SAP BusinessObjects",
    "Power BI",
    "Cognos",
    "Data Modeling"
  ],
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    "Data Warehouse",
    "SQL",
    "PL/SQL",
    "SAP Data Services",
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    "IBM DataStage",
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  "new_aliases_persisted": 0,
  "run_id": "830af4dd-521f-4397-8fa6-1f6e66efd5c8",
  "skills_detail": [
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    {
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      },
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    },
    {
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        }
      ],
      "canonical": {
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        "volatility": "STABLE"
      },
      "dimensions": [
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Pega Programming Languages \u0026 DSLs",
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            "rationale": "Programming languages and domain-specific languages used in Pega development.",
            "slug": "pega-programming-languages-dsls",
            "source": "db"
          },
          "input_skill": "SQL",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "Pega Developer",
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              "slug": "pega-developer",
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            }
          ]
        },
        {
          "dimension": {
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            "display_name": "Programming Languages \u0026 DSLs",
            "id": 475,
            "rationale": "Oversee and guide the selection and effective use of programming and domain\u2010specific languages in software projects.",
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            "source": "db"
          },
          "input_skill": "SQL",
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            }
          ]
        },
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Programming Languages for Data Work",
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            "rationale": "Languages used to implement data pipelines, transformations, and operational glue. This is the primary coding surface for building ingestion, enrichment, and automation logic in data engineering.",
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            "source": "db"
          },
          "input_skill": "SQL",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "Data Engineer",
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              "source": "db"
            }
          ]
        }
      ],
      "input_skill": "SQL",
      "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": "PL/SQL",
          "alias_type": "CANONICAL",
          "id": 2513,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        }
      ],
      "canonical": {
        "category_id": 6,
        "display_name": "PL/SQL",
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        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "LANGUAGE",
        "slug": "pl-sql",
        "sub_category_id": 1173,
        "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": "PL/SQL",
          "llm_role": null,
          "roles_from_db": []
        }
      ],
      "input_skill": "PL/SQL",
      "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": [],
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      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
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          "volatility": "MEDIUM"
        },
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        "keep_log": [],
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        "merge_log": [],
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        "split_log": [],
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        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [
        {
          "alias_text": "Informatica",
          "alias_type": "CANONICAL",
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          "is_primary": true,
          "match_strategy": "CASE_INSENSITIVE"
        }
      ],
      "canonical": {
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        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "PLATFORM",
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        "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",
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              "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",
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    },
    {
      "aliases_in_db": [],
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      "dimensions": [],
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      "new_skill_meta": {
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          "volatility": "MEDIUM"
        },
        "enrichment": null,
        "keep_log": [],
        "locked_dimensions": [],
        "merge_log": [],
        "placed": null,
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        "skill_id": "ibm-datastage",
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        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
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      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
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          "sub_category": "general",
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          "volatility": "MEDIUM"
        },
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        "keep_log": [],
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        "skill_id": "sap-businessobjects",
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        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [
        {
          "alias_text": "Power BI",
          "alias_type": "CANONICAL",
          "id": 360,
          "is_primary": true,
          "match_strategy": "CASE_INSENSITIVE"
        }
      ],
      "canonical": {
        "category_id": 9,
        "display_name": "Power BI",
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        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "PLATFORM",
        "slug": "power-bi",
        "sub_category_id": 111,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "dimensions": [
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "BI and Visualization Tools",
            "id": 31,
            "rationale": "Tools used to expose curated data to analysts and business users through dashboards, reports, and semantic exploration. Data engineers support these tools by shaping reliable datasets and performant models.",
            "slug": "bi-and-visualization-tools",
            "source": "db"
          },
          "input_skill": "Power BI",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "Data Engineer",
              "id": 2,
              "rationale": null,
              "role_archetype": null,
              "slug": "data-engineer",
              "source": "db"
            }
          ]
        }
      ],
      "input_skill": "Power BI",
      "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": "Cognos",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Business Intelligence Tools",
          "skill_nature": "TOOL",
          "sub_category": "general",
          "typical_lifespan": "MULTI_YEAR",
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          "volatility": "MEDIUM"
        },
        "enrichment": null,
        "keep_log": [],
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        "merge_log": [],
        "placed": null,
        "relationships": null,
        "skill_id": "cognos",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [
        {
          "alias_text": "domain modeling",
          "alias_type": "CANONICAL",
          "id": 3675,
          "is_primary": true,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "Domain Modeling",
          "alias_type": "CANONICAL",
          "id": 5644,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        }
      ],
      "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"
      },
      "dimensions": [
        {
          "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.",
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            "source": "db"
          },
          "input_skill": "Data Modeling",
          "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": "Python Backend Developer",
              "id": 80,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "python-backend-developer",
              "source": "db"
            }
          ]
        },
        {
          "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"
          },
          "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
    }
  ],
  "unmatched_skills": [
    "ETL",
    "Reporting",
    "Data Warehouse",
    "SAP Data Services",
    "IBM DataStage",
    "SAP BusinessObjects",
    "Cognos"
  ]
}
API 3 — final-role-output
{
  "chosen_role": {
    "display_name": "BI Developer",
    "id": 147,
    "rationale": "Domain=Data Engineering \u0026 Analytics; The JD centers on BI reporting, dashboards, semantic layers, and user-facing analytics solutions, which most strongly matches BI Developer responsibilities.",
    "role_archetype": null,
    "slug": "bi-developer",
    "source": "db"
  },
  "chosen_role_resolution": "in_db",
  "final_input_skills": [
    {
      "skill": "ETL",
      "tag": "new"
    },
    {
      "skill": "Reporting",
      "tag": "new"
    },
    {
      "skill": "Data Warehouse",
      "tag": "new"
    },
    {
      "skill": "SQL",
      "tag": "in_db"
    },
    {
      "skill": "PL/SQL",
      "tag": "in_db"
    },
    {
      "skill": "SAP Data Services",
      "tag": "new"
    },
    {
      "skill": "Informatica",
      "tag": "in_db"
    },
    {
      "skill": "IBM DataStage",
      "tag": "new"
    },
    {
      "skill": "SAP BusinessObjects",
      "tag": "new"
    },
    {
      "skill": "Power BI",
      "tag": "in_db"
    },
    {
      "skill": "Cognos",
      "tag": "new"
    },
    {
      "skill": "Data Modeling",
      "tag": "in_db"
    }
  ],
  "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": 147,
        "dimension": {
          "difficulty_hint": "well_known",
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