Pipeline run
a5de4444-6b85-4f27-b58b-05b20416dd5d
Client output enrichment
v2 Skill cluster · Nature of work · AI index · Tech stack maturity · Evidence · KRA descriptionvocab breakdown (legacy)
Signals
Post-classification
Captured for admin review
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…
1 POST /skills/extract-from-jd
2 POST /skills/extract-details
3 POST /skills/final-role-output
ETL / ELT Developer
domain · Data Engineering & Analytics CASE DOMAINslug: 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
Matched dimensions
Matched KRAs
Resolution:
in_db
— role exists in library; skill↔dim and role↔dim links saved when applicable.
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.
Aliases — catalog
- Informatica (CANONICAL) primary
Context tags (catalog)
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) |
Skill enrichment (orchestrator / LLM)
No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).
- Category
- Data Engineering Tools
- Sub-category
- general
- Skill nature
- PRACTICE
- Volatility
- MEDIUM
- Typical lifespan
- MULTI_YEAR
- Version strategy
- UNVERSIONED
Aliases — catalog
- SQL (CANONICAL) primary
Context tags (catalog)
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) |
Aliases — catalog
- PL/SQL (CANONICAL)
Context tags (catalog)
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) |
Skill enrichment (orchestrator / LLM)
No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).
- Category
- Infrastructure Tools
- Sub-category
- general
- Skill nature
- TOOL
- Volatility
- MEDIUM
- Typical lifespan
- MULTI_YEAR
- Version strategy
- UNVERSIONED
Aliases — catalog
- Agile (CANONICAL) primary
Context tags (catalog)
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) |
Skill enrichment (orchestrator / LLM)
No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).
- Category
- Project Management Tools
- Sub-category
- general
- Skill nature
- TOOL
- Volatility
- MEDIUM
- Typical lifespan
- MULTI_YEAR
- Version strategy
- UNVERSIONED
Skill enrichment (orchestrator / LLM)
No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).
- Category
- Collaboration Tools
- Sub-category
- general
- Skill nature
- TOOL
- Volatility
- MEDIUM
- Typical lifespan
- MULTI_YEAR
- Version strategy
- UNVERSIONED
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)
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) |
Aliases — catalog
- API (CANONICAL)
Context tags (catalog)
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
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": {
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],
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},
"education": [
{
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"qualification": "Bachelor\u0027s/Master\u0027s - Any Discipline",
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"requirement": "required"
}
],
"experience": {
"max": 8,
"min": 5,
"raw": "5 \u2013 8 years of experience in ETL development"
},
"job_locations": [
{
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],
"city": "Bangalore",
"country": "India",
"state": null,
"work_mode": null
}
],
"role": "Senior Software Engineer",
"role_aliases": [
"ETL Developer",
"ETL Engineer",
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],
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"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.",
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"heading_was_present": true,
"source_marker": {
"first_5_words": "\u2022 Develops relationships with the",
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},
"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,
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{
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"skill_name": "Jira"
},
{
"is_primary": true,
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},
{
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},
{
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}
],
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"role_aliases": [
"ETL Developer",
"ETL Engineer",
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"slug": ""
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"nano_parsed": {
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"about_company": {
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"first_5_words": "Elevance Health is a leading",
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},
"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.",
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{
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{
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"source_marker": {
"first_5_words": "ETL Developer Resource Should Have",
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},
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"word_count": 174
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{
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"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
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],
"urls": []
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"rejected": false,
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"run_id": "a5de4444-6b85-4f27-b58b-05b20416dd5d",
"stage3_signals": {
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"alias_match_roles": [
{
"display_name": "Data Engineer",
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"role_id": 2,
"score": 1.0,
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},
{
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}
],
"kra_match_roles": [
{
"display_name": "Backend Developer",
"kra_matches": [
{
"kra_text": "Investigates and resolves production incidents, API bugs, and service degradation through root cause analysis, hotfixes, and post-mortems.",
"sentence": "Assists with break-fix/defects management, especially intake, triaging and prioritization of defects",
"similarity": 0.6031
},
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}
API 2 — extract-details
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"roles_from_db": [
{
"display_name": "Data Engineer",
"id": 2,
"rationale": null,
"role_archetype": null,
"slug": "data-engineer",
"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",
"id": 1567,
"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": [],
"input_skill": "Control-M",
"matched_via": null,
"new_alias_persisted": false,
"new_alias_text": null,
"new_skill_meta": {
"derived": {
"category": "Infrastructure 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": "control-m",
"split_log": [],
"typed": null,
"warnings": []
},
"source_tag": "llm",
"was_in_llm_skills": true
},
{
"aliases_in_db": [
{
"alias_text": "Agile",
"alias_type": "CANONICAL",
"id": 868,
"is_primary": false,
"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": 367,
"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": []
}
],
"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": "Confluence",
"matched_via": null,
"new_alias_persisted": false,
"new_alias_text": null,
"new_skill_meta": {
"derived": {
"category": "Collaboration 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": "confluence",
"split_log": [],
"typed": null,
"warnings": []
},
"source_tag": "llm",
"was_in_llm_skills": true
},
{
"aliases_in_db": [
{
"alias_text": "MongoDB",
"alias_type": "CANONICAL",
"id": 232,
"is_primary": true,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "MongoDB 2.0",
"alias_type": "VERSION",
"id": 238,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "MongoDB 2.2",
"alias_type": "VERSION",
"id": 239,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "MongoDB 2.4",
"alias_type": "VERSION",
"id": 240,
"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,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "MongoDB 4.4",
"alias_type": "VERSION",
"id": 248,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "MongoDB 5",
"alias_type": "VERSION",
"id": 234,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "MongoDB 5.0",
"alias_type": "VERSION",
"id": 249,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "MongoDB 6",
"alias_type": "VERSION",
"id": 235,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "MongoDB 6.0",
"alias_type": "VERSION",
"id": 250,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "MongoDB 7",
"alias_type": "VERSION",
"id": 236,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "MongoDB 7.0",
"alias_type": "VERSION",
"id": 251,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "MongoDB 8",
"alias_type": "VERSION",
"id": 237,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "MongoDB 8.0",
"alias_type": "VERSION",
"id": 252,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
}
],
"canonical": {
"category_id": 3,
"display_name": "MongoDB",
"id": 91,
"is_also_category": false,
"is_extractable": true,
"skill_nature": "TOOL",
"slug": "mongodb",
"sub_category_id": 27,
"typical_lifespan": "EVERGREEN",
"volatility": "STABLE"
},
"dimensions": [
{
"dimension": {
"difficulty_hint": "well_known",
"display_name": "NoSQL Databases",
"id": 19,
"rationale": "Models and manages data using non-relational database systems.",
"slug": "nosql-databases",
"source": "db"
},
"input_skill": "MongoDB",
"llm_role": null,
"roles_from_db": [
{
"display_name": "Backend Developer",
"id": 1,
"rationale": null,
"role_archetype": "A Backend Engineer designs, builds, and maintains the server-side logic and data handling that power applications and services. They focus on implementing reliable business functionality, integrating with other systems, and ensuring the backend is scalable, maintainable, and observable.",
"slug": "backend-engineer",
"source": "db"
}
]
}
],
"input_skill": "MongoDB",
"matched_via": "alias",
"new_alias_persisted": false,
"new_alias_text": null,
"new_skill_meta": null,
"source_tag": "db",
"was_in_llm_skills": true
},
{
"aliases_in_db": [
{
"alias_text": "API",
"alias_type": "CANONICAL",
"id": 2514,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
}
],
"canonical": {
"category_id": 2,
"display_name": "API",
"id": 1568,
"is_also_category": false,
"is_extractable": true,
"skill_nature": "CONCEPT",
"slug": "api",
"sub_category_id": 1174,
"typical_lifespan": "EVERGREEN",
"volatility": "STABLE"
},
"dimensions": [
{
"dimension": {
"difficulty_hint": "well_known",
"display_name": "API Integration and Data Fetching",
"id": 127,
"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",
"id": 90,
"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,
"source_tag": "db",
"was_in_llm_skills": true
}
],
"unmatched_skills": [
"ETL",
"Control-M",
"Jira",
"Confluence"
]
}
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,
"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",
"skipped_reason": null
},
{
"chosen_role_id": 50,
"dimension": {
"difficulty_hint": "well_known",
"display_name": "Pega Programming Languages \u0026 DSLs",
"id": 267,
"rationale": "Programming languages and domain-specific languages used in Pega development.",
"slug": "pega-programming-languages-dsls",
"source": "db"
},
"dimension_id": 267,
"input_skill": "SQL",
"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": "Pega Developer",
"id": 24,
"rationale": null,
"role_archetype": null,
"slug": "pega-developer",
"source": "db"
}
],
"skill_dimension_saved": true,
"skill_id": 101,
"skill_tag": "in_db",
"skipped_reason": null
},
{
"chosen_role_id": 50,
"dimension": {
"difficulty_hint": "well_known",
"display_name": "Programming Languages for Data Work",
"id": 21,
"rationale": "Languages used to implement data pipelines, transformations, and operational glue. This is the primary coding surface for building ingestion, enrichment, and automation logic in data engineering.",
"slug": "programming-languages-for-data-work",
"source": "db"
},
"dimension_id": 21,
"input_skill": "SQL",
"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": 101,
"skill_tag": "in_db",
"skipped_reason": null
},
{
"chosen_role_id": 50,
"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"
},
"dimension_id": 96,
"input_skill": "PL/SQL",
"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": [],
"skill_dimension_saved": true,
"skill_id": 1567,
"skill_tag": "in_db",
"skipped_reason": null
},
{
"chosen_role_id": 50,
"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"
},
"dimension_id": 96,
"input_skill": "Agile",
"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": [],
"skill_dimension_saved": true,
"skill_id": 520,
"skill_tag": "in_db",
"skipped_reason": null
},
{
"chosen_role_id": 50,
"dimension": {
"difficulty_hint": "well_known",
"display_name": "NoSQL Databases",
"id": 19,
"rationale": "Models and manages data using non-relational database systems.",
"slug": "nosql-databases",
"source": "db"
},
"dimension_id": 19,
"input_skill": "MongoDB",
"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": "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"
}
],
"skill_dimension_saved": true,
"skill_id": 91,
"skill_tag": "in_db",
"skipped_reason": null
},
{
"chosen_role_id": 50,
"dimension": {
"difficulty_hint": "well_known",
"display_name": "API Integration and Data Fetching",
"id": 127,
"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"
},
"dimension_id": 127,
"input_skill": "API",
"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": "Angular Frontend Developer",
"id": 90,
"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"
}
],
"skill_dimension_saved": true,
"skill_id": 1568,
"skill_tag": "in_db",
"skipped_reason": null
}
],
"new_skills_created": 0,
"role_dimension_saved": 0,
"skill_dimension_saved": 0,
"skipped": 0
},
"planner_output": null,
"run_id": "a5de4444-6b85-4f27-b58b-05b20416dd5d"
}
LLM Calls
Every model call made for this run, in pipeline order. Click a card to see the model's response.