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Pipeline run

a5de4444-6b85-4f27-b58b-05b20416dd5d

Pipeline LLM cost (USD)
API 1: $0.0085 API 2: $0.0002 API 3: $0.0000 Total: $0.0087

Client output enrichment

v2 Skill cluster · Nature of work · AI index · Tech stack maturity · Evidence · KRA description
Nature of work · ETL Development & Production Support
Build and support Informatica ETL file loads, writing SQL/PLSQL mappings and unit tests, then move them through design, testing, deployment, scheduling, and production break-fix with cross-team stakeholders.
"“Proficient in ETL build life cycle comprising of requirement gathering, design, development, testing and deployment.”"
Tech stack maturity
Mainstream Legacy
The stack centers on Informatica, PL/SQL, and SQL with agile practices, which is typical of established enterprise data integration work rather than cloud-native or bleeding-edge tooling.
AI index (0 = no AI use, 5 = totally AI-dependent · v2.1)
0.00 / 5
· Title match
· Has AI skill
· AI skill (primary)
· AI skill (secondary)
· On AI team
· Builds AI products
vocab breakdown (legacy)
Assistants (×1):
Frameworks (×2):
Models / concepts (×3):
Evidence — skills matched in JD (10)
Informatica ETL SQL PL/SQL Control-M Agile Jira Confluence MongoDB API
Skill cluster (1 dimension groups, role-scoped)
Cross-cutting / unaligned
Informatica ETL SQL PL/SQL Control-M Agile Jira Confluence MongoDB API
Show KRA description ↓
ETL Developer Resource Should Have The Below • 5+ years of Experience in Informatica, ETL File Loads, SQL, PL SQL. • Proficient in ETL build life cycle comprising of requirement gathering, design, development, testing and deployment. Should be able to understand the ETL logic and DB scripts. • Experience in Control M scheduler or any other similar scheduling tool. • Ability to collaborate and facilitate troubleshooting of technical issues and work organizationally across teams (Production tasks, Server, Product and Database). • Familiar with Agile environment • Production support • Possess strong analytical skills, organizational skills, attention to detail, excellent verbal, and written communication skills. • Ability to engage onshore partners & other stakeholders. • Knowledge on Jira, Confluence and should have basic exposure on Agile methodology • Providing results to internal team and stakeholders • Good to have experience on knowledge and understanding of Mongo DB, API. • Develops relationships with the business to better understand business requirements. • Build Dashboards and Mapping logics and unit test the code. • Ability to collaborate and facilitate troubleshooting of technical issues and work organizationally across teams (Production tasks, Server, Product and Database). • Interact with Billing leadership and with stakeholders across IT and Operations. • Assists with break-fix/defects management, especially intake, triaging and prioritization of defects • Analyzes and classifies complex change request and identifies and documents possible enhancements. • Preparing functional and/or technical specifications. • Participate in the integrating activities with other IT departments for successful implementation and support of project efforts. • Facilitates small group design sessions or code reviews. • Collaborates with geographically diverse associates and external vendor partners to get work accomplished.

Signals

Skill data-engineer
0.25
Alias data-engineer
1.00
KRA backend-engineer
0.58

Post-classification

Centroidupdated · n=8
Alias collision log
New-role queue
New skills captured4
New KRA capturedyes

Captured for admin review

ETL primary ETL / ELT Developer pending
Control-M primary ETL / ELT Developer pending
Jira primary ETL / ELT Developer pending
Confluence primary ETL / ELT Developer pending
R&R fragment (sim 0.00) ETL / ELT Developer pending

ETL Developer Resource Should Have The Below • 5+ years of Experience in Informatica, ETL File Loads, SQL, PL SQL. • Proficient in ETL build life cycle comprising of requirement gathering, design, de…

Status: completed Created: 2026-05-27T14:48:50.553417Z Updated: 2026-06-12T17:15:32.971243Z API 3 duration: 8014 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 ETL development, file loads, SQL/PL SQL, ETL lifecycle work, scheduling, and production support, which best matches ETL / ELT Developer.

Matched skills

InformaticaETL File LoadsSQLPL SQLControl MJiraConfluenceMongo DBAPIAgile

Matched dimensions

ETL Development LifecycleProduction SupportTechnical TroubleshootingCross-team CollaborationRequirements and Design DocumentationDefect ManagementStakeholder Communication

Matched KRAs

Develops relationships with the business to understand requirementsBuild Dashboards and Mapping logics and unit test the codeProvide results to internal team and stakeholdersAssist with break-fix/defects managementAnalyze and classify complex change requestsPrepare functional and/or technical specificationsFacilitate small group design sessions or code reviews

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

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

Job description

Position Title

ETL developer-Senior Software Engineer-GR-38946-64201-JR134728

Job Family

IFT > Engineering /Dev

Shift

Job Description:

Job Title

Senior Software Engineer

Requirement Type

Fulltime Employee

Job Location

Bangalore

Requirement Level

Senior Software Engineer

Hiring Manager

Associate Manager

Primary Skill

ETL(informatica) and Database(Oracle)

Business

HBT- FHPS

Skill Category

Niche

About Elevance Health

Elevance Health is a leading health company in America dedicated to improving lives and communities and making healthcare simpler. It is the largest managed health care company in the Blue Cross Blue Shield (BCBS) Association serving more than 45 million lives across 14 states.

A regular in Fortune 500 list, Elevance Health ranked 20 in 2022. Gail Boudreaux, President and CEO of Elevance Health has been a consistent name in the Fortune list of most powerful women and currently holds 4th rank on this list.

About Carelon

Carelon Global Solutions (CGS) is a healthcare solutions company that is simplifying complex operational processes to improve the health of the healthcare system.

Previously known as Legato Health Technologies, Carelon Global Solutions (hereinafter, CGS) underwent a name change and joined the Carelon family of brands in January 2023, as a fully owned subsidiary of Elevance Health (Previously Anthem Inc.). CGS brings together a global team of like-minded innovators who manage and optimize operational processes for health plans as well as providers.

Our brightest minds housed across our global headquarters in Indianapolis as well as Bengaluru, Hyderabad and Gurugram in India, Manila in the Philippines, Limerick in Ireland and San Juan in Puerto Rico bring with them innovative capabilities and an unmatched depth of experience. This global team uniquely positions CGS to enable scalable, next-generation platforms and specialized digital tools that make healthcare operations more practical, effective and efficient.

OUR MISSION & VALUES

Our Mission: Improving Lives and Communities. Simplifying Healthcare. Expecting More.

Our Values: Leadership | Community | Integrity | Agility | Diversity

JOB POSITION

Carelon Global Solutions India is seeking a highly creative and meticulous ETL Engineer who can be able to work independently and should able to quick learner as associate will be collaborating with many individual contributor for the multiple technology project.

JOB RESPONSIBILITY

ETL Developer Resource Should Have The Below

• 5+ years of Experience in Informatica, ETL File Loads, SQL, PL SQL.
• Proficient in ETL build life cycle comprising of requirement gathering, design, development, testing and deployment. Should be able to understand the ETL logic and DB scripts.
• Experience in Control M scheduler or any other similar scheduling tool.
• Ability to collaborate and facilitate troubleshooting of technical issues and work organizationally across teams (Production tasks, Server, Product and Database).
• Familiar with Agile environment
• Production support
• Possess strong analytical skills, organizational skills, attention to detail, excellent verbal, and written communication skills.
• Ability to engage onshore partners & other stakeholders.
• Knowledge on Jira, Confluence and should have basic exposure on Agile methodology
• Providing results to internal team and stakeholders
• Good to have experience on knowledge and understanding of Mongo DB, API.


QUALIFICATION

• Bachelor’s or master’s degree


Experience

• 5 – 8 years of experience in ETL development


Skills And Competencies

• Develops relationships with the business to better understand business requirements.
• Build Dashboards and Mapping logics and unit test the code.
• Ability to collaborate and facilitate troubleshooting of technical issues and work organizationally across teams (Production tasks, Server, Product and Database).
• Interact with Billing leadership and with stakeholders across IT and Operations.
• Assists with break-fix/defects management, especially intake, triaging and prioritization of defects
• Analyzes and classifies complex change request and identifies and documents possible enhancements.
• Preparing functional and/or technical specifications.
• Participate in the integrating activities with other IT departments for successful implementation and support of project efforts.
• Facilitates small group design sessions or code reviews.
• Collaborates with geographically diverse associates and external vendor partners to get work accomplished.


THE CARELON PROMISE

Aligning with our brand belief of ‘limitless minds are our biggest asset’, we offer a world of limitless opportunities to our associates.

It is our strong belief that one is committed to a role when it is not just what the role entails, but also what lies in its periphery that completes the value circle for an associate.

This world of limitless opportunities thrives in an environment that fosters growth and well-being, and gives you purpose and the feeling of belonging.

LIFE @ CARELON

• Extensive focus on learning and development
• An inspiring culture built on innovation, creativity, and freedom.
• Holistic well-being
• Comprehensive range of rewards and recognitions
• Competitive health and medical insurance coverage
• Best-in-class amenities and workspaces
• Policies designed with associates at the center.


EQUAL OPPORTUNITY EMPLOYER

Carelon is committed to a diverse and inclusive workplace and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other characteristics.

Reasonable Accommodation

Our inclusive culture empowers Carelon to deliver the best results for our customers. We not only celebrate the diversity of our workforce, but we also celebrate the diverse ways we work.

If you have a disability and need accommodation such as an interpreter or a different interview format, please ask for the Reasonable Accommodation Request Form.

Disclaimer: Offered designation titles differ*

Job Type

Full time

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
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 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 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)
Control-M 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
Infrastructure Tools
Sub-category
general
Skill nature
TOOL
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Agile Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Agile id=520 · agile

Aliases — catalog

  • Agile (CANONICAL) primary

Context tags (catalog)

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

Stored enrichment (catalog DB)

Category
Methodology
Sub-category
Agile
Confidence
0.99
Version strategy
NOT_APPLICABLE

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

Skill profile (library / DB)

Skill nature
METHODOLOGY
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
8
Sub-category id
367
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)
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
Confluence 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
Collaboration Tools
Sub-category
general
Skill nature
TOOL
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
MongoDB Secondary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: MongoDB id=91 · mongodb

Aliases — catalog

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

Context tags (catalog)

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

Stored enrichment (catalog DB)

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

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

Skill profile (library / DB)

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

Dimensions (API 2 worklist)

  • NoSQL Databases Catalog dimension db id 19

    Library dimension (catalog)

    Roles linked in library: Backend Developer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
NoSQL Databases
nosql-databases
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
API Secondary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: API id=1568 · api

Aliases — catalog

  • API (CANONICAL)

Context tags (catalog)

API gateway GraphQL JSON OAuth REST SDK SOAP XML authentication endpoint microservices rate limiting throttling versioning webhooks

Stored enrichment (catalog DB)

Category
Concept
Sub-category
Application Programming Interface
Confidence
0.93
Version strategy
NOT_APPLICABLE

Maturity reasoning: APIs are a core requirement in most software engineering JDs and underpin common integrations across cloud, mobile, and web stacks; major vendors like AWS, Stripe, and Google Cloud center products on API-first usage.

Skill profile (library / DB)

Skill nature
CONCEPT
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
2
Sub-category id
1174
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • API Integration and Data Fetching Catalog dimension db id 127

    Library dimension (catalog)

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

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
API Integration and Data Fetching
api-integration-and-data-fetching
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)

All API 3 persistence rows

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

Skill Tag Dimension Skill↔dim Role↔dim Outcome Notes
Informatica in_db
ETL and ELT Tooling
etl-and-elt-tooling
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
SQL in_db
Pega Programming Languages & DSLs
pega-programming-languages-dsls
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
SQL in_db
Programming Languages 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)
Agile in_db
React Frontend Development
d_init_01
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
MongoDB in_db
NoSQL Databases
nosql-databases
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
API in_db
API Integration and Data Fetching
api-integration-and-data-fetching
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 Control-M | type=Infrastructure Tools 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 Confluence | type=Collaboration Tools subtype=general nature=TOOL lifespan=MULTI_YEAR
nano JD Parser — gpt-4.1-nano click to toggle
RoleSenior Software Engineer
CompanyElevance Health
Experience5 – 8 years of experience in ETL development
DomainHealthcare
Location Bangalore, India
JD type pass
Show raw JSON
{
  "JD_type": "pass",
  "about_company": {
    "source_marker": {
      "first_5_words": "Elevance Health is a leading",
      "last_5_words": "lives across 14 states."
    },
    "text": "Elevance Health is a leading health company in America dedicated to improving lives and communities and making healthcare simpler. It is the largest managed health care company in the Blue Cross Blue Shield (BCBS) Association serving more than 45 million lives across 14 states.",
    "word_count": 42
  },
  "certifications": [],
  "company_name": "Elevance Health",
  "ctc": null,
  "domain": {
    "primary": {
      "aliases": [
        "HealthTech",
        "Managed Care"
      ],
      "domain": "Healthcare"
    },
    "secondary": null
  },
  "education": [
    {
      "level": "Bachelor\u0027s",
      "qualification": "Bachelor\u0027s/Master\u0027s - Any Discipline",
      "raw": "Bachelor\u2019s or master\u2019s degree",
      "requirement": "required"
    }
  ],
  "experience": {
    "max": 8,
    "min": 5,
    "raw": "5 \u2013 8 years of experience in ETL development"
  },
  "job_locations": [
    {
      "aliases": [
        "Bengaluru"
      ],
      "city": "Bangalore",
      "country": "India",
      "state": null,
      "work_mode": null
    }
  ],
  "role": "Senior Software Engineer",
  "role_aliases": [
    "ETL Developer",
    "ETL Engineer",
    "Software Engineer"
  ],
  "role_archetype": "Engineering",
  "roles_and_responsibilities": [
    {
      "bullet_count": 10,
      "heading": "JOB RESPONSIBILITY",
      "heading_was_present": true,
      "source_marker": {
        "first_5_words": "ETL Developer Resource Should Have",
        "last_5_words": "knowledge and understanding of Mongo DB, API."
      },
      "text": "ETL Developer Resource Should Have The Below\n\n\u2022 5+ years of Experience in Informatica, ETL File Loads, SQL, PL SQL.\n\u2022 Proficient in ETL build life cycle comprising of requirement gathering, design, development, testing and deployment. Should be able to understand the ETL logic and DB scripts.\n\u2022 Experience in Control M scheduler or any other similar scheduling tool.\n\u2022 Ability to collaborate and facilitate troubleshooting of technical issues and work organizationally across teams (Production tasks, Server, Product and Database).\n\u2022 Familiar with Agile environment\n\u2022 Production support\n\u2022 Possess strong analytical skills, organizational skills, attention to detail, excellent verbal, and written communication skills.\n\u2022 Ability to engage onshore partners \u0026 other stakeholders.\n\u2022 Knowledge on Jira, Confluence and should have basic exposure on Agile methodology\n\u2022 Providing results to internal team and stakeholders\n\u2022 Good to have experience on knowledge and understanding of Mongo DB, API.",
      "word_count": 174
    },
    {
      "bullet_count": 10,
      "heading": "Skills And Competencies",
      "heading_was_present": true,
      "source_marker": {
        "first_5_words": "\u2022 Develops relationships with the",
        "last_5_words": "to get work accomplished."
      },
      "text": "\u2022 Develops relationships with the business to better understand business requirements.\n\u2022 Build Dashboards and Mapping logics and unit test the code.\n\u2022 Ability to collaborate and facilitate troubleshooting of technical issues and work organizationally across teams (Production tasks, Server, Product and Database).\n\u2022 Interact with Billing leadership and with stakeholders across IT and Operations.\n\u2022 Assists with break-fix/defects management, especially intake, triaging and prioritization of defects\n\u2022 Analyzes and classifies complex change request and identifies and documents possible enhancements.\n\u2022 Preparing functional and/or technical specifications.\n\u2022 Participate in the integrating activities with other IT departments for successful implementation and support of project efforts.\n\u2022 Facilitates small group design sessions or code reviews.\n\u2022 Collaborates with geographically diverse associates and external vendor partners to get work accomplished.",
      "word_count": 186
    }
  ],
  "urls": []
}
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": "SQL"
    },
    {
      "is_primary": true,
      "skill_name": "PL/SQL"
    },
    {
      "is_primary": true,
      "skill_name": "Control-M"
    },
    {
      "is_primary": true,
      "skill_name": "Agile"
    },
    {
      "is_primary": true,
      "skill_name": "Jira"
    },
    {
      "is_primary": true,
      "skill_name": "Confluence"
    },
    {
      "is_primary": false,
      "skill_name": "MongoDB"
    },
    {
      "is_primary": false,
      "skill_name": "API"
    }
  ],
  "jd_role": {
    "display_name": "Senior Software Engineer",
    "rationale": null,
    "role_aliases": [
      "ETL Developer",
      "ETL Engineer",
      "Software Engineer"
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API 2 — extract-details
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  "skills_detail": [
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      },
      "dimensions": [
        {
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            "display_name": "Pega Programming Languages \u0026 DSLs",
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            }
          ]
        },
        {
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      ],
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      "matched_via": "alias",
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    },
    {
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      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
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        }
      ],
      "canonical": {
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        "is_also_category": false,
        "is_extractable": true,
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        "volatility": "STABLE"
      },
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          },
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    },
    {
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      },
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    },
    {
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      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
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        },
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          "alias_text": "MongoDB 2.0",
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          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "MongoDB 2.2",
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          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "MongoDB 2.4",
          "alias_type": "VERSION",
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          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "MongoDB 2.6",
          "alias_type": "VERSION",
          "id": 241,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "MongoDB 3.0",
          "alias_type": "VERSION",
          "id": 242,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "MongoDB 3.2",
          "alias_type": "VERSION",
          "id": 243,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "MongoDB 3.4",
          "alias_type": "VERSION",
          "id": 244,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "MongoDB 3.6",
          "alias_type": "VERSION",
          "id": 245,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "MongoDB 4",
          "alias_type": "VERSION",
          "id": 233,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "MongoDB 4.0",
          "alias_type": "VERSION",
          "id": 246,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "MongoDB 4.2",
          "alias_type": "VERSION",
          "id": 247,
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          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "MongoDB 4.4",
          "alias_type": "VERSION",
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          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "MongoDB 5",
          "alias_type": "VERSION",
          "id": 234,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "MongoDB 5.0",
          "alias_type": "VERSION",
          "id": 249,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "MongoDB 6",
          "alias_type": "VERSION",
          "id": 235,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "MongoDB 6.0",
          "alias_type": "VERSION",
          "id": 250,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "MongoDB 7",
          "alias_type": "VERSION",
          "id": 236,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "MongoDB 7.0",
          "alias_type": "VERSION",
          "id": 251,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "MongoDB 8",
          "alias_type": "VERSION",
          "id": 237,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "MongoDB 8.0",
          "alias_type": "VERSION",
          "id": 252,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        }
      ],
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        "is_also_category": false,
        "is_extractable": true,
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        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
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            "source": "db"
          },
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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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          ]
        }
      ],
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      "new_alias_text": null,
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      "source_tag": "db",
      "was_in_llm_skills": true
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          "alias_text": "API",
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          "id": 2514,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
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      ],
      "canonical": {
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        "display_name": "API",
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        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "CONCEPT",
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        "sub_category_id": 1174,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "dimensions": [
        {
          "dimension": {
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            "rationale": "Client-side integration with backend endpoints and third-party services, including request shaping, response handling, and synchronization with UI state. This is central to frontend work because most screens depend on remote data.",
            "slug": "api-integration-and-data-fetching",
            "source": "db"
          },
          "input_skill": "API",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "Angular Frontend Developer",
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              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "angular-frontend-developer",
              "source": "db"
            },
            {
              "display_name": "Frontend Developer",
              "id": 7,
              "rationale": null,
              "role_archetype": null,
              "slug": "frontend-engineer",
              "source": "db"
            },
            {
              "display_name": "Fullstack Developer",
              "id": 15,
              "rationale": null,
              "role_archetype": null,
              "slug": "full-stack-engineer",
              "source": "db"
            },
            {
              "display_name": "React Frontend Developer",
              "id": 89,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "react-frontend-developer",
              "source": "db"
            },
            {
              "display_name": "Svelte Frontend Developer",
              "id": 92,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "svelte-frontend-developer",
              "source": "db"
            },
            {
              "display_name": "Vue Frontend Developer",
              "id": 91,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "vue-frontend-developer",
              "source": "db"
            },
            {
              "display_name": "Web Developer",
              "id": 25,
              "rationale": null,
              "role_archetype": null,
              "slug": "web-developer",
              "source": "db"
            }
          ]
        }
      ],
      "input_skill": "API",
      "matched_via": "alias",
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": null,
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      "was_in_llm_skills": true
    }
  ],
  "unmatched_skills": [
    "ETL",
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  ]
}
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 ETL development, file loads, SQL/PL SQL, ETL lifecycle work, scheduling, and production support, which best matches ETL / ELT Developer.",
    "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": "SQL",
      "tag": "in_db"
    },
    {
      "skill": "PL/SQL",
      "tag": "in_db"
    },
    {
      "skill": "Control-M",
      "tag": "new"
    },
    {
      "skill": "Agile",
      "tag": "in_db"
    },
    {
      "skill": "Jira",
      "tag": "new"
    },
    {
      "skill": "Confluence",
      "tag": "new"
    },
    {
      "skill": "MongoDB",
      "tag": "in_db"
    },
    {
      "skill": "API",
      "tag": "in_db"
    }
  ],
  "llm_cost_api1_usd": null,
  "llm_cost_api2_usd": null,
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}

LLM Calls

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

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