Pipeline run
38126560-274b-42a4-a8cd-e76b135cd56a
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
Must Have Senior associates will be responsible for the following: • 5-8 years of experience and has extensive Knowledge in Informatica Power Center 9.1/8.x/7.x Source Analyzer, Mapping Designer, Ma…
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 PowerCenter ETL development, mapping, transformations, workflow management, SQL/PLSQL, testing, and production support.
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 Informatica - Sr. Software Engineer - 27077 - 26234 - BF - JR164881 Job Family IFT > Engineering /Dev Shift Job Description: Job Description Job Title Senior Software Engineer I Requirement Type Sr. Associate Job Location Bengaluru/ Gurugram Requirement Level SSE Hiring Manager Team Lead Primary Skill Informatica, Oracle Business HSP 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 Careloncarelon Carelon Global Solutions (CGS) is a healthcare solutions company that simplifies 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 SSE who will be responsible for Informatica , Oracle ETL Developer, Agile method, Skilled in Developing, Designing and implementing large scale enterprise applications . Supportive and resolve the team technical issues, Strong communication and collaboration skills with a proven track record of working effectively in cross-functional teams. JOB RESPONSIBILITY Must Have Senior associates will be responsible for the following: • 5-8 years of experience and has extensive Knowledge in Informatica Power Center 9.1/8.x/7.x Source Analyzer, Mapping Designer, Mapplet, Transformations, Workflow Monitor, Workflow Manager, Data cleaning, Flat file system Fixed width, Delimiter, OLAP. • Innovative thinking and strong problem solving and analytical capabilities. • Strong working knowledge of Developing, Designing and implementing large scale enterprise applications. • Possess strong analytical skills, organizational skills, attention to detail, and excellent verbal and written communication skills. • Ability to establish and maintain effective working relationships with co-workers, managers and internal and/or external customers. • Plans and conducts Informatica ETL unit and development tests • Design, implement, test and maintain ETL components for multiple applications • Provide post-production application support as required • Provide data analysis to support new project definition/design to troubleshoot/resolve issues with existing subject areas • Work independently or as part of a team to deliver ETL projects • Follow established standards and best practices and provide input for improvement of those processes • Maintain a high volume, multi-terabyte 24/7 ODS application • Knowledge of Agile process • Skilled in SQL, PL/SQL, SQL Plus, TOAD, SQL Assistant • Created test plans, test data for extraction and transformation processes and resolved data issues following the data standards. • Interacted actively with Business Analysts and Data Modelers on Mapping documents and Design process for various Sources and Targets • Developed rules and mapplets that are commonly used in different mappings • Used various transformations like Address validator, parser, joiner, filter, matching to develop the maps • Created complex mappings in Power Center Designer using Aggregate, Expression, Filter, and Sequence Generator, Update Strategy, Union, Lookup, Joiner, XML Source Qualifier and Stored procedure transformations • Proficient with a database SQL language for user defined database extract or update statements. SQL and database skills are the two great building blocks for ETL work. • Worked on Power Center Tools like designer, workflow manager, workflow monitor and repository manager. • Developed the mappings, applied rules and transformation logics as per the source and target system requirements. • Worked on different environments with different source and target databases like Teradata, DB2, and SQL server. • Responsible for migration of the work from dev environment to testing environment • Responsible for solving testing issues. • Good understanding of data mapping, data validation, data manipulation, and data analysis use cases. • Extensive experience working in Agile/Scrum methodology. • Perform advanced ETL development activities using Informatica, PL/SQL, Oracle Database tuning, SQL tuning • Oracle experience from the development perspective (database and application), PL/SQL • Informatica PowerCenter developer needed to develop and enhance ETLs from various sources to Oracle ODS etc. • SDLC Knowledge. QUALIFICATION • Bachelor’s or master’s degree . Experience • 6-8 years of experience in ETL Informatica and Oracle. Skills And Competencies • Extensive Knowledge in Informatica Power Center 9.1/8.x/7.x Source Analyzer, Mapping Designer, Mapplet, Transformations, Workflow Monitor, Workflow Manager, Data cleaning, Flat file system Fixed width, Delimiter, OLAP. • Innovative thinking and strong problem solving and analytical capabilities. • Strong working knowledge of Developing, Designing and implementing large scale enterprise applications. • Possess strong analytical skills, organizational skills, attention to detail, and excellent verbal and written communication skills. • Ability to establish and maintain effective working relationships with co-workers, managers and internal and/or external customers. • Plans and conducts Informatica ETL unit and development tests • Design, implement, test and maintain ETL components for multiple applications • Provide post-production application support as required • Provide data analysis to support new project definition/design to troubleshoot/resolve issues with existing subject areas • Work independently or as part of a team to deliver ETL projects • Follow established standards and best practices and provide input for improvement of those processes • Maintain a high volume, multi-terabyte 24/7 ODS application • Knowledge of Agile process • Skilled in SQL, PL/SQL, SQL Plus, TOAD, SQL Assistant. 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.
Skill enrichment (orchestrator / LLM)
No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).
- Category
- Other
- 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
- Other
- 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
- Other
- 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
- Other
- 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
- Other
- 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
- Other
- 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
- Other
- Sub-category
- general
- Skill nature
- TOOL
- 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 & 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) |
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
- Other
- 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
- Other
- 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
- Other
- 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
- 3594
- Extractable
- True
- Also category
- False
Dimensions (API 2 worklist)
-
React Frontend Development Catalog dimension db id 96
Library dimension (catalog)
-
Software Concepts, Patterns & Practices Catalog dimension db id 478
Library dimension (catalog)
Roles linked in library: Engineering Manager
API 3 link attempts (this skill)
| Dimension | Skill↔dim | Role↔dim | Outcome |
|---|---|---|---|
|
React Frontend Development
d_init_01
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) |
|
Software Concepts, Patterns & Practices
software-concepts-patterns-practices
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) |
Aliases — catalog
- Scrum (CANONICAL) primary
Context tags (catalog)
Stored enrichment (catalog DB)
- Category
- Methodology
- Sub-category
- Scrum
- Confidence
- 0.99
- Version strategy
- NOT_APPLICABLE
Maturity reasoning: Scrum appears in a large share of agile project-management and product-owner job descriptions, and Scrum Alliance/PSM certifications are widely requested in hiring pipelines.
Skill profile (library / DB)
- Skill nature
- METHODOLOGY
- Volatility
- STABLE
- Typical lifespan
- EVERGREEN
- Category id
- 8
- Sub-category id
- 3627
- Extractable
- True
- Also category
- False
Dimensions (API 2 worklist)
-
React Frontend Development Catalog dimension db id 96
Library dimension (catalog)
-
Software Concepts, Patterns & Practices Catalog dimension db id 478
Library dimension (catalog)
Roles linked in library: Engineering Manager
API 3 link attempts (this skill)
| Dimension | Skill↔dim | Role↔dim | Outcome |
|---|---|---|---|
|
React Frontend Development
d_init_01
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) |
|
Software Concepts, Patterns & Practices
software-concepts-patterns-practices
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) |
Skill enrichment (orchestrator / LLM)
No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).
- Category
- Other
- 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
- Other
- Sub-category
- general
- Skill nature
- TOOL
- Volatility
- MEDIUM
- Typical lifespan
- MULTI_YEAR
- Version strategy
- UNVERSIONED
Aliases — catalog
- SQL Server (CANONICAL) primary
- SQL Server 2000 (VERSION)
- SQL Server 2005 (VERSION)
- SQL Server 2008 (VERSION)
- SQL Server 2012 (VERSION)
- SQL Server 2014 (VERSION)
- SQL Server 2016 (VERSION)
- SQL Server 2017 (VERSION)
- SQL Server 2019 (VERSION)
- SQL Server 2022 (VERSION)
- SQL Server 6.5 (VERSION)
- SQL Server 7.0 (VERSION)
Context tags (catalog)
Stored enrichment (catalog DB)
- Category
- Datastore
- Sub-category
- Relational Database
- Vendor
- Microsoft
- License
- proprietary
- Year introduced
- 1989
- Confidence
- 0.99
- Version strategy
- NOT_APPLICABLE
Maturity reasoning: SQL Server appears in many enterprise job descriptions and remains a major Microsoft-supported RDBMS with active Azure SQL/SQL Server demand; it is a common hiring-pipeline staple, not a sunset technology.
Skill profile (library / DB)
- Skill nature
- TOOL
- Volatility
- STABLE
- Typical lifespan
- EVERGREEN
- Category id
- 3
- Sub-category id
- 29
- Extractable
- True
- Also category
- False
Dimensions (API 2 worklist)
-
Relational Database Design Catalog dimension db id 4
Library dimension (catalog)
Roles linked in library: .NET Backend Developer, Backend Developer, Kotlin Backend Developer, Node.js Backend Developer, Python Backend Developer, Ruby Backend Developer, Scala Backend Developer
API 3 link attempts (this skill)
| Dimension | Skill↔dim | Role↔dim | Outcome |
|---|---|---|---|
|
Relational Database Design
relational-database-design
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) |
Skill enrichment (orchestrator / LLM)
No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).
- Category
- Other
- 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
- Other
- Sub-category
- general
- Skill nature
- TOOL
- Volatility
- MEDIUM
- Typical lifespan
- MULTI_YEAR
- Version strategy
- UNVERSIONED
Aliases — catalog
- query tuning (CANONICAL) primary
- Query Tuning (CANONICAL)
Context tags (catalog)
Stored enrichment (catalog DB)
- Category
- Concept
- Sub-category
- Query Optimization
- Confidence
- 0.82
- Version strategy
- NOT_APPLICABLE
Maturity reasoning: Common in DB/analytics job descriptions and vendor docs; PostgreSQL, MySQL, SQL Server, and Oracle all expose EXPLAIN/ANALYZE and tuning guides, showing broad hiring-pipeline demand.
Skill profile (library / DB)
- Skill nature
- CONCEPT
- Volatility
- STABLE
- Typical lifespan
- EVERGREEN
- Category id
- 2
- Sub-category id
- 3067
- Extractable
- True
- Also category
- False
Dimensions (API 2 worklist)
-
Relational Database Design Catalog dimension db id 4
Library dimension (catalog)
Roles linked in library: .NET Backend Developer, Backend Developer, Kotlin Backend Developer, Node.js Backend Developer, Python Backend Developer, Ruby Backend Developer, Scala Backend Developer
API 3 link attempts (this skill)
| Dimension | Skill↔dim | Role↔dim | Outcome |
|---|---|---|---|
|
Relational Database Design
relational-database-design
|
— | — |
Skipped — no persistable v3 meta for new skill
skill_not_in_db_v3_proposed
|
Skill enrichment (orchestrator / LLM)
No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).
- Category
- Other
- Sub-category
- general
- Skill nature
- TOOL
- Volatility
- MEDIUM
- Typical lifespan
- MULTI_YEAR
- Version strategy
- UNVERSIONED
Aliases — catalog
- data cleaning (CANONICAL) primary
Context tags (catalog)
Stored enrichment (catalog DB)
- Category
- Methodology
- Sub-category
- Data Preparation Methodology
- Confidence
- 0.95
- Version strategy
- NOT_APPLICABLE
Maturity reasoning: Common requirement in data/analytics JDs and core ETL/ML pipelines; widely taught and used across Python, SQL, and BI roles rather than a niche tool.
Skill profile (library / DB)
- Skill nature
- METHODOLOGY
- Volatility
- STABLE
- Typical lifespan
- EVERGREEN
- Category id
- 8
- Sub-category id
- 159
- Extractable
- True
- Also category
- False
Dimensions (API 2 worklist)
-
Data Preparation and Labeling Catalog dimension db id 52
Library dimension (catalog)
Roles linked in library: ML Engineer
API 3 link attempts (this skill)
| Dimension | Skill↔dim | Role↔dim | Outcome |
|---|---|---|---|
|
Data Preparation and Labeling
data-preparation-and-labeling
|
✓ | — | 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
- Other
- 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
- Other
- 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
- Other
- Sub-category
- general
- Skill nature
- TOOL
- Volatility
- MEDIUM
- Typical lifespan
- MULTI_YEAR
- Version strategy
- UNVERSIONED
Aliases — catalog
- filters (CANONICAL) primary
Context tags (catalog)
Stored enrichment (catalog DB)
- Category
- Concept
- Sub-category
- Search Filter Concept
- Confidence
- 0.84
- Version strategy
- NOT_APPLICABLE
Maturity reasoning: Search filters are a standard product/search concept and appear broadly in JDs for e-commerce, SaaS, and data apps; they’re a common requirement rather than a niche specialty.
Skill profile (library / DB)
- Skill nature
- CONCEPT
- Volatility
- STABLE
- Typical lifespan
- EVERGREEN
- Category id
- 2
- Sub-category id
- 3163
- Extractable
- True
- Also category
- False
Dimensions (API 2 worklist)
-
ASP.NET Core Web Frameworks Catalog dimension db id 363
Library dimension (catalog)
Roles linked in library: .NET Backend Developer
-
Search and Navigation Experience Catalog dimension db id 399
Library dimension (catalog)
Roles linked in library: Magento Dev, Shopify Dev
API 3 link attempts (this skill)
| Dimension | Skill↔dim | Role↔dim | Outcome |
|---|---|---|---|
|
ASP.NET Core Web Frameworks
asp-net-core-web-frameworks
|
— | — |
Skipped — no persistable v3 meta for new skill
skill_not_in_db_v3_proposed
|
|
Search and Navigation Experience
search-and-navigation-experience
|
— | — |
Skipped — no persistable v3 meta for new skill
skill_not_in_db_v3_proposed
|
Skill enrichment (orchestrator / LLM)
No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).
- Category
- Other
- 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
- Other
- 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
- Other
- 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
- Other
- 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
- Other
- 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
- Other
- 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
- Other
- 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
- Other
- 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
- Other
- 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
- Other
- 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
- Other
- 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
- Other
- 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
- Other
- Sub-category
- general
- Skill nature
- TOOL
- Volatility
- MEDIUM
- Typical lifespan
- MULTI_YEAR
- Version strategy
- UNVERSIONED
Aliases — catalog
- SDLC (CANONICAL)
Context tags (catalog)
Stored enrichment (catalog DB)
- Category
- Methodology
- Sub-category
- Software Development Lifecycle
- Confidence
- 0.88
- Version strategy
- NOT_APPLICABLE
Maturity reasoning: SDLC is a standard hiring-pipeline term across software roles; job postings commonly require experience with SDLC phases, Agile/Waterfall, and release processes rather than treating it as niche tooling.
Skill profile (library / DB)
- Skill nature
- METHODOLOGY
- Volatility
- STABLE
- Typical lifespan
- EVERGREEN
- Category id
- 8
- Sub-category id
- 1179
- 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) |
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) | |
| Agile | in_db |
React Frontend Development
d_init_01
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) | |
| Agile | in_db |
Software Concepts, Patterns & Practices
software-concepts-patterns-practices
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) | |
| Scrum | in_db |
React Frontend Development
d_init_01
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) | |
| Scrum | in_db |
Software Concepts, Patterns & Practices
software-concepts-patterns-practices
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) | |
| SQL Server | in_db |
Relational Database Design
relational-database-design
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) | |
| SQL tuning | new |
Relational Database Design
relational-database-design
|
— | — | Skipped — no persistable v3 meta for new skill | skill_not_in_db_v3_proposed |
| Data cleaning | in_db |
Data Preparation and Labeling
data-preparation-and-labeling
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) | |
| Filter | new |
ASP.NET Core Web Frameworks
asp-net-core-web-frameworks
|
— | — | Skipped — no persistable v3 meta for new skill | skill_not_in_db_v3_proposed |
| Filter | new |
Search and Navigation Experience
search-and-navigation-experience
|
— | — | Skipped — no persistable v3 meta for new skill | skill_not_in_db_v3_proposed |
| SDLC | in_db |
React Frontend Development
d_init_01
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) |
Library artifacts (this run)
| Kind | Detail | DB id |
|---|---|---|
| canonical_skill_proposed | Informatica PowerCenter | type=Other subtype=general nature=TOOL lifespan=MULTI_YEAR | |
| canonical_skill_proposed | Source Analyzer | type=Other subtype=general nature=TOOL lifespan=MULTI_YEAR | |
| canonical_skill_proposed | Mapping Designer | type=Other subtype=general nature=TOOL lifespan=MULTI_YEAR | |
| canonical_skill_proposed | Mapplet | type=Other subtype=general nature=TOOL lifespan=MULTI_YEAR | |
| canonical_skill_proposed | Workflow Monitor | type=Other subtype=general nature=TOOL lifespan=MULTI_YEAR | |
| canonical_skill_proposed | Workflow Manager | type=Other subtype=general nature=TOOL lifespan=MULTI_YEAR | |
| canonical_skill_proposed | ETL | type=Other subtype=general nature=TOOL lifespan=MULTI_YEAR | |
| canonical_skill_proposed | SQL*Plus | type=Other subtype=general nature=TOOL lifespan=MULTI_YEAR | |
| canonical_skill_proposed | TOAD | type=Other subtype=general nature=TOOL lifespan=MULTI_YEAR | |
| canonical_skill_proposed | SQL Assistant | type=Other subtype=general nature=TOOL lifespan=MULTI_YEAR | |
| canonical_skill_proposed | Teradata | type=Other subtype=general nature=TOOL lifespan=MULTI_YEAR | |
| canonical_skill_proposed | DB2 | type=Other subtype=general nature=TOOL lifespan=MULTI_YEAR | |
| canonical_skill_proposed | Oracle | type=Other subtype=general nature=TOOL lifespan=MULTI_YEAR | |
| canonical_skill_proposed | Oracle Database tuning | type=Other subtype=general nature=TOOL lifespan=MULTI_YEAR | |
| canonical_skill_proposed | ODS | type=Other subtype=general nature=TOOL lifespan=MULTI_YEAR | |
| canonical_skill_proposed | OLAP | type=Other subtype=general nature=TOOL lifespan=MULTI_YEAR | |
| canonical_skill_proposed | Aggregate | type=Other subtype=general nature=TOOL lifespan=MULTI_YEAR | |
| canonical_skill_proposed | Expression | type=Other subtype=general nature=TOOL lifespan=MULTI_YEAR | |
| canonical_skill_proposed | Sequence Generator | type=Other subtype=general nature=TOOL lifespan=MULTI_YEAR | |
| canonical_skill_proposed | Update Strategy | type=Other subtype=general nature=TOOL lifespan=MULTI_YEAR | |
| canonical_skill_proposed | Union | type=Other subtype=general nature=TOOL lifespan=MULTI_YEAR | |
| canonical_skill_proposed | Lookup | type=Other subtype=general nature=TOOL lifespan=MULTI_YEAR | |
| canonical_skill_proposed | Joiner | type=Other subtype=general nature=TOOL lifespan=MULTI_YEAR | |
| canonical_skill_proposed | XML Source Qualifier | type=Other subtype=general nature=TOOL lifespan=MULTI_YEAR | |
| canonical_skill_proposed | Stored Procedure | type=Other subtype=general nature=TOOL lifespan=MULTI_YEAR | |
| canonical_skill_proposed | Address Validator | type=Other subtype=general nature=TOOL lifespan=MULTI_YEAR | |
| canonical_skill_proposed | Parser | type=Other subtype=general nature=TOOL lifespan=MULTI_YEAR | |
| canonical_skill_proposed | Matching | type=Other subtype=general nature=TOOL lifespan=MULTI_YEAR | |
| canonical_skill_proposed | Data validation | type=Other subtype=general nature=TOOL lifespan=MULTI_YEAR | |
| canonical_skill_proposed | Data manipulation | type=Other subtype=general nature=TOOL lifespan=MULTI_YEAR | |
| canonical_skill_proposed | Data analysis | type=Other subtype=general nature=TOOL lifespan=MULTI_YEAR | |
| dimension_skill_link_proposed | SQL tuning ↔ Relational Database Design | |
| dimension_skill_link_proposed | Filter ↔ ASP.NET Core Web Frameworks | |
| dimension_skill_link_proposed | Filter ↔ Search and Navigation Experience |
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": {
"primary": {
"aliases": [
"HealthTech",
"Managed Care"
],
"domain": "Healthcare"
},
"secondary": null
},
"education": [
{
"level": "Bachelor\u0027s",
"qualification": "Bachelor\u0027s/Master\u0027s - null",
"raw": "Bachelor\u2019s or master\u2019s degree.",
"requirement": "required"
}
],
"experience": {
"max": 8,
"min": 6,
"raw": "6-8 years of experience in ETL Informatica and Oracle."
},
"job_locations": [
{
"aliases": [
"Bangalore"
],
"city": "Bengaluru",
"country": "India",
"state": null,
"work_mode": "null"
},
{
"aliases": [
"Gurgaon"
],
"city": "Gurugram",
"country": "India",
"state": null,
"work_mode": "null"
}
],
"role": "Senior Software Engineer I",
"role_aliases": [
"Software Engineer",
"ETL Developer",
"Informatica Developer"
],
"role_archetype": "Engineering",
"roles_and_responsibilities": [
{
"bullet_count": 20,
"heading": "JOB RESPONSIBILITY",
"heading_was_present": true,
"source_marker": {
"first_5_words": "Must Have\n\nSenior associates will be",
"last_5_words": "and enhance ETLs from various"
},
"text": "Must Have\n\nSenior associates will be responsible for the following:\n\n\u2022 5-8 years of experience and has extensive Knowledge in Informatica Power Center 9.1/8.x/7.x Source Analyzer, Mapping Designer, Mapplet, Transformations, Workflow Monitor, Workflow Manager, Data cleaning, Flat file system Fixed width, Delimiter, OLAP.\n\u2022 Innovative thinking and strong problem solving and analytical capabilities.\n\u2022 Strong working knowledge of Developing, Designing and implementing large scale enterprise applications.\n\u2022 Possess strong analytical skills, organizational skills, attention to detail, and excellent verbal and written communication skills.\n\u2022 Ability to establish and maintain effective working relationships with co-workers, managers and internal and/or external customers.\n\u2022 Plans and conducts Informatica ETL unit and development tests\n\u2022 Design, implement, test and maintain ETL components for multiple applications\n\u2022 Provide post-production application support as required\n\u2022 Provide data analysis to support new project definition/design to troubleshoot/resolve issues with existing subject areas\n\u2022 Work independently or as part of a team to deliver ETL projects\n\u2022 Follow established standards and best practices and provide input for improvement of those processes\n\u2022 Maintain a high volume, multi-terabyte 24/7 ODS application\n\u2022 Knowledge of Agile process\n\u2022 Skilled in SQL, PL/SQL, SQL Plus, TOAD, SQL Assistant\n\u2022 Created test plans, test data for extraction and transformation processes and resolved data issues following the data standards.\n\u2022 Interacted actively with Business Analysts and Data Modelers on Mapping documents and Design process for various Sources and Targets\n\u2022 Developed rules and mapplets that are commonly used in different mappings\n\u2022 Used various transformations like Address validator, parser, joiner, filter, matching to develop the maps\n\u2022 Created complex mappings in Power Center Designer using Aggregate, Expression, Filter, and Sequence Generator, Update Strategy, Union, Lookup, Joiner, XML Source Qualifier and Stored procedure transformations\n\u2022 Proficient with a database SQL language for user defined database extract or update statements. SQL and database skills are the two great building blocks for ETL work.\n\u2022 Worked on Power Center Tools like designer, workflow manager, workflow monitor and repository manager.\n\u2022 Developed the mappings, applied rules and transformation logics as per the source and target system requirements.\n\u2022 Worked on different environments with different source and target databases like Teradata, DB2, and SQL server.\n\u2022 Responsible for migration of the work from dev environment to testing environment\n\u2022 Responsible for solving testing issues.\n\u2022 Good understanding of data mapping, data validation, data manipulation, and data analysis use cases.\n\u2022 Extensive experience working in Agile/Scrum methodology.\n\u2022 Perform advanced ETL development activities using Informatica, PL/SQL, Oracle Database tuning, SQL tuning\n\u2022 Oracle experience from the development perspective (database and application), PL/SQL\n\u2022 Informatica PowerCenter developer needed to develop and enhance ETLs from various sources to Oracle ODS etc.\n\u2022 SDLC Knowledge.",
"word_count": 469
}
],
"urls": []
}
API 1 — extract-from-jd click to toggle
{
"final_skills": [
{
"is_primary": true,
"skill_name": "Informatica PowerCenter"
},
{
"is_primary": true,
"skill_name": "Source Analyzer"
},
{
"is_primary": true,
"skill_name": "Mapping Designer"
},
{
"is_primary": true,
"skill_name": "Mapplet"
},
{
"is_primary": true,
"skill_name": "Workflow Monitor"
},
{
"is_primary": true,
"skill_name": "Workflow Manager"
},
{
"is_primary": true,
"skill_name": "ETL"
},
{
"is_primary": true,
"skill_name": "SQL"
},
{
"is_primary": true,
"skill_name": "PL/SQL"
},
{
"is_primary": true,
"skill_name": "SQL*Plus"
},
{
"is_primary": true,
"skill_name": "TOAD"
},
{
"is_primary": true,
"skill_name": "SQL Assistant"
},
{
"is_primary": true,
"skill_name": "Agile"
},
{
"is_primary": true,
"skill_name": "Scrum"
},
{
"is_primary": true,
"skill_name": "Teradata"
},
{
"is_primary": true,
"skill_name": "DB2"
},
{
"is_primary": true,
"skill_name": "SQL Server"
},
{
"is_primary": true,
"skill_name": "Oracle"
},
{
"is_primary": false,
"skill_name": "Oracle Database tuning"
},
{
"is_primary": false,
"skill_name": "SQL tuning"
},
{
"is_primary": true,
"skill_name": "ODS"
},
{
"is_primary": false,
"skill_name": "Data cleaning"
},
{
"is_primary": false,
"skill_name": "OLAP"
},
{
"is_primary": false,
"skill_name": "Aggregate"
},
{
"is_primary": false,
"skill_name": "Expression"
},
{
"is_primary": false,
"skill_name": "Filter"
},
{
"is_primary": false,
"skill_name": "Sequence Generator"
},
{
"is_primary": false,
"skill_name": "Update Strategy"
},
{
"is_primary": false,
"skill_name": "Union"
},
{
"is_primary": false,
"skill_name": "Lookup"
},
{
"is_primary": false,
"skill_name": "Joiner"
},
{
"is_primary": false,
"skill_name": "XML Source Qualifier"
},
{
"is_primary": false,
"skill_name": "Stored Procedure"
},
{
"is_primary": false,
"skill_name": "Address Validator"
},
{
"is_primary": false,
"skill_name": "Parser"
},
{
"is_primary": false,
"skill_name": "Matching"
},
{
"is_primary": false,
"skill_name": "Data validation"
},
{
"is_primary": false,
"skill_name": "Data manipulation"
},
{
"is_primary": false,
"skill_name": "Data analysis"
},
{
"is_primary": false,
"skill_name": "SDLC"
}
],
"jd_role": {
"display_name": "Senior Software Engineer I",
"rationale": null,
"role_aliases": [
"Software Engineer",
"ETL Developer",
"Informatica Developer"
],
"role_archetype": "Engineering",
"slug": ""
},
"nano_parsed": {
"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 - null",
"raw": "Bachelor\u2019s or master\u2019s degree.",
"requirement": "required"
}
],
"experience": {
"max": 8,
"min": 6,
"raw": "6-8 years of experience in ETL Informatica and Oracle."
},
"job_locations": [
{
"aliases": [
"Bangalore"
],
"city": "Bengaluru",
"country": "India",
"state": null,
"work_mode": "null"
},
{
"aliases": [
"Gurgaon"
],
"city": "Gurugram",
"country": "India",
"state": null,
"work_mode": "null"
}
],
"role": "Senior Software Engineer I",
"role_aliases": [
"Software Engineer",
"ETL Developer",
"Informatica Developer"
],
"role_archetype": "Engineering",
"roles_and_responsibilities": [
{
"bullet_count": 20,
"heading": "JOB RESPONSIBILITY",
"heading_was_present": true,
"source_marker": {
"first_5_words": "Must Have\n\nSenior associates will be",
"last_5_words": "and enhance ETLs from various"
},
"text": "Must Have\n\nSenior associates will be responsible for the following:\n\n\u2022 5-8 years of experience and has extensive Knowledge in Informatica Power Center 9.1/8.x/7.x Source Analyzer, Mapping Designer, Mapplet, Transformations, Workflow Monitor, Workflow Manager, Data cleaning, Flat file system Fixed width, Delimiter, OLAP.\n\u2022 Innovative thinking and strong problem solving and analytical capabilities.\n\u2022 Strong working knowledge of Developing, Designing and implementing large scale enterprise applications.\n\u2022 Possess strong analytical skills, organizational skills, attention to detail, and excellent verbal and written communication skills.\n\u2022 Ability to establish and maintain effective working relationships with co-workers, managers and internal and/or external customers.\n\u2022 Plans and conducts Informatica ETL unit and development tests\n\u2022 Design, implement, test and maintain ETL components for multiple applications\n\u2022 Provide post-production application support as required\n\u2022 Provide data analysis to support new project definition/design to troubleshoot/resolve issues with existing subject areas\n\u2022 Work independently or as part of a team to deliver ETL projects\n\u2022 Follow established standards and best practices and provide input for improvement of those processes\n\u2022 Maintain a high volume, multi-terabyte 24/7 ODS application\n\u2022 Knowledge of Agile process\n\u2022 Skilled in SQL, PL/SQL, SQL Plus, TOAD, SQL Assistant\n\u2022 Created test plans, test data for extraction and transformation processes and resolved data issues following the data standards.\n\u2022 Interacted actively with Business Analysts and Data Modelers on Mapping documents and Design process for various Sources and Targets\n\u2022 Developed rules and mapplets that are commonly used in different mappings\n\u2022 Used various transformations like Address validator, parser, joiner, filter, matching to develop the maps\n\u2022 Created complex mappings in Power Center Designer using Aggregate, Expression, Filter, and Sequence Generator, Update Strategy, Union, Lookup, Joiner, XML Source Qualifier and Stored procedure transformations\n\u2022 Proficient with a database SQL language for user defined database extract or update statements. SQL and database skills are the two great building blocks for ETL work.\n\u2022 Worked on Power Center Tools like designer, workflow manager, workflow monitor and repository manager.\n\u2022 Developed the mappings, applied rules and transformation logics as per the source and target system requirements.\n\u2022 Worked on different environments with different source and target databases like Teradata, DB2, and SQL server.\n\u2022 Responsible for migration of the work from dev environment to testing environment\n\u2022 Responsible for solving testing issues.\n\u2022 Good understanding of data mapping, data validation, data manipulation, and data analysis use cases.\n\u2022 Extensive experience working in Agile/Scrum methodology.\n\u2022 Perform advanced ETL development activities using Informatica, PL/SQL, Oracle Database tuning, SQL tuning\n\u2022 Oracle experience from the development perspective (database and application), PL/SQL\n\u2022 Informatica PowerCenter developer needed to develop and enhance ETLs from various sources to Oracle ODS etc.\n\u2022 SDLC Knowledge.",
"word_count": 469
}
],
"urls": []
},
"rejected": false,
"rejection_reason": null,
"run_id": "38126560-274b-42a4-a8cd-e76b135cd56a",
"stage3_signals": {
"alias_found": true,
"alias_match_roles": [
{
"display_name": "Data Engineer",
"kra_matches": null,
"matched_count": null,
"matched_skills": null,
"role_id": 2,
"score": 1.0,
"slug": "data-engineer",
"total_count": null
},
{
"display_name": "ETL / ELT Developer",
"kra_matches": null,
"matched_count": null,
"matched_skills": null,
"role_id": 50,
"score": 1.0,
"slug": "etl-elt-developer",
"total_count": null
}
],
"kra_match_roles": [
{
"display_name": "Data Engineer",
"kra_matches": [
{
"kra_text": "Works with data analysts, data scientists, and business stakeholders to define data models, ingestion schedules, and data delivery requirements.",
"sentence": "Interacted actively with Business Analysts and Data Modelers on Mapping documents and Design process for various Sources and Targets",
"similarity": 0.5878
},
{
"kra_text": "Works with data analysts, data scientists, and business stakeholders to define data models, ingestion schedules, and data delivery requirements.",
"sentence": "Created test plans, test data for extraction and transformation processes and resolved data issues following the data standards.",
"similarity": 0.5276
},
{
"kra_text": "Works with data analysts, data scientists, and business stakeholders to define data models, ingestion schedules, and data delivery requirements.",
"sentence": "Provide data analysis to support new project definition/design to troubleshoot/resolve issues with existing subject areas",
"similarity": 0.5076
}
],
"matched_count": null,
"matched_skills": null,
"role_id": 2,
"score": 0.541,
"slug": "data-engineer",
"total_count": null
},
{
"display_name": "Pega Developer",
"kra_matches": [
{
"kra_text": "Requirements analysis and process translation",
"sentence": "Developed the mappings, applied rules and transformation logics as per the source and target system requirements.",
"similarity": 0.5354
},
{
"kra_text": "Requirements analysis and process translation",
"sentence": "Interacted actively with Business Analysts and Data Modelers on Mapping documents and Design process for various Sources and Targets",
"similarity": 0.4788
},
{
"kra_text": "Requirements analysis and process translation",
"sentence": "Provide data analysis to support new project definition/design to troubleshoot/resolve issues with existing subject areas",
"similarity": 0.4777
}
],
"matched_count": null,
"matched_skills": null,
"role_id": 24,
"score": 0.4973,
"slug": "pega-developer",
"total_count": null
},
{
"display_name": "MLOps Engineer",
"kra_matches": [
{
"kra_text": "Coordinates model promotion workflows across development, staging, and production environments including integration testing and data contract validation.",
"sentence": "Responsible for migration of the work from dev environment to testing environment",
"similarity": 0.5586
},
{
"kra_text": "Coordinates model promotion workflows across development, staging, and production environments including integration testing and data contract validation.",
"sentence": "Plans and conducts Informatica ETL unit and development tests",
"similarity": 0.4577
},
{
"kra_text": "Validates model performance benchmarks, data schema contracts, and system integration health before signing off on production release readiness.",
"sentence": "Created test plans, test data for extraction and transformation processes and resolved data issues following the data standards.",
"similarity": 0.4494
}
],
"matched_count": null,
"matched_skills": null,
"role_id": 16,
"score": 0.4886,
"slug": "ml-ops-engineer",
"total_count": null
},
{
"display_name": "DevOps Engineer",
"kra_matches": [
{
"kra_text": "Collaborates with development teams to improve build processes, reduce deployment friction, containerize applications, and adopt DevOps best practices.",
"sentence": "Follow established standards and best practices and provide input for improvement of those processes",
"similarity": 0.5085
},
{
"kra_text": "Manages release management processes including environment promotion gates, deployment approval workflows, change management records, and rollback procedures.",
"sentence": "Responsible for migration of the work from dev environment to testing environment",
"similarity": 0.4854
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API 2 — extract-details
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"typical_lifespan": "MULTI_YEAR",
"version_strategy": "UNVERSIONED",
"volatility": "MEDIUM"
},
"enrichment": null,
"keep_log": [],
"locked_dimensions": [],
"merge_log": [],
"placed": null,
"relationships": null,
"skill_id": "joiner",
"split_log": [],
"typed": null,
"warnings": []
},
"source_tag": "llm",
"was_in_llm_skills": true
},
{
"aliases_in_db": [],
"canonical": null,
"dimensions": [],
"input_skill": "XML Source Qualifier",
"matched_via": null,
"new_alias_persisted": false,
"new_alias_text": null,
"new_skill_meta": {
"derived": {
"category": "Other",
"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": "xml-source-qualifier",
"split_log": [],
"typed": null,
"warnings": []
},
"source_tag": "llm",
"was_in_llm_skills": true
},
{
"aliases_in_db": [],
"canonical": null,
"dimensions": [],
"input_skill": "Stored Procedure",
"matched_via": null,
"new_alias_persisted": false,
"new_alias_text": null,
"new_skill_meta": {
"derived": {
"category": "Other",
"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": "stored-procedure",
"split_log": [],
"typed": null,
"warnings": []
},
"source_tag": "llm",
"was_in_llm_skills": true
},
{
"aliases_in_db": [],
"canonical": null,
"dimensions": [],
"input_skill": "Address Validator",
"matched_via": null,
"new_alias_persisted": false,
"new_alias_text": null,
"new_skill_meta": {
"derived": {
"category": "Other",
"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": "address-validator",
"split_log": [],
"typed": null,
"warnings": []
},
"source_tag": "llm",
"was_in_llm_skills": true
},
{
"aliases_in_db": [],
"canonical": null,
"dimensions": [],
"input_skill": "Parser",
"matched_via": null,
"new_alias_persisted": false,
"new_alias_text": null,
"new_skill_meta": {
"derived": {
"category": "Other",
"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": "parser",
"split_log": [],
"typed": null,
"warnings": []
},
"source_tag": "llm",
"was_in_llm_skills": true
},
{
"aliases_in_db": [],
"canonical": null,
"dimensions": [],
"input_skill": "Matching",
"matched_via": null,
"new_alias_persisted": false,
"new_alias_text": null,
"new_skill_meta": {
"derived": {
"category": "Other",
"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": "matching",
"split_log": [],
"typed": null,
"warnings": []
},
"source_tag": "llm",
"was_in_llm_skills": true
},
{
"aliases_in_db": [],
"canonical": null,
"dimensions": [],
"input_skill": "Data validation",
"matched_via": null,
"new_alias_persisted": false,
"new_alias_text": null,
"new_skill_meta": {
"derived": {
"category": "Other",
"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": "data-validation",
"split_log": [],
"typed": null,
"warnings": []
},
"source_tag": "llm",
"was_in_llm_skills": true
},
{
"aliases_in_db": [],
"canonical": null,
"dimensions": [],
"input_skill": "Data manipulation",
"matched_via": null,
"new_alias_persisted": false,
"new_alias_text": null,
"new_skill_meta": {
"derived": {
"category": "Other",
"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": "data-manipulation",
"split_log": [],
"typed": null,
"warnings": []
},
"source_tag": "llm",
"was_in_llm_skills": true
},
{
"aliases_in_db": [],
"canonical": null,
"dimensions": [],
"input_skill": "Data analysis",
"matched_via": null,
"new_alias_persisted": false,
"new_alias_text": null,
"new_skill_meta": {
"derived": {
"category": "Other",
"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": "data-analysis",
"split_log": [],
"typed": null,
"warnings": []
},
"source_tag": "llm",
"was_in_llm_skills": true
},
{
"aliases_in_db": [
{
"alias_text": "SDLC",
"alias_type": "CANONICAL",
"id": 2519,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
}
],
"canonical": {
"category_id": 8,
"display_name": "SDLC",
"id": 1573,
"is_also_category": false,
"is_extractable": true,
"skill_nature": "METHODOLOGY",
"slug": "sdlc",
"sub_category_id": 1179,
"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": "SDLC",
"llm_role": null,
"roles_from_db": []
}
],
"input_skill": "SDLC",
"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": [
"Informatica PowerCenter",
"Source Analyzer",
"Mapping Designer",
"Mapplet",
"Workflow Monitor",
"Workflow Manager",
"ETL",
"SQL*Plus",
"TOAD",
"SQL Assistant",
"Teradata",
"DB2",
"Oracle",
"Oracle Database tuning",
"ODS",
"OLAP",
"Aggregate",
"Expression",
"Sequence Generator",
"Update Strategy",
"Union",
"Lookup",
"Joiner",
"XML Source Qualifier",
"Stored Procedure",
"Address Validator",
"Parser",
"Matching",
"Data validation",
"Data manipulation",
"Data analysis"
]
}
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 PowerCenter ETL development, mapping, transformations, workflow management, SQL/PLSQL, testing, and production support.",
"role_archetype": "Data",
"slug": "etl-elt-developer",
"source": "db"
},
"chosen_role_resolution": "in_db",
"final_input_skills": [
{
"skill": "Informatica PowerCenter",
"tag": "new"
},
{
"skill": "Source Analyzer",
"tag": "new"
},
{
"skill": "Mapping Designer",
"tag": "new"
},
{
"skill": "Mapplet",
"tag": "new"
},
{
"skill": "Workflow Monitor",
"tag": "new"
},
{
"skill": "Workflow Manager",
"tag": "new"
},
{
"skill": "ETL",
"tag": "new"
},
{
"skill": "SQL",
"tag": "in_db"
},
{
"skill": "PL/SQL",
"tag": "in_db"
},
{
"skill": "SQL*Plus",
"tag": "new"
},
{
"skill": "TOAD",
"tag": "new"
},
{
"skill": "SQL Assistant",
"tag": "new"
},
{
"skill": "Agile",
"tag": "in_db"
},
{
"skill": "Scrum",
"tag": "in_db"
},
{
"skill": "Teradata",
"tag": "new"
},
{
"skill": "DB2",
"tag": "new"
},
{
"skill": "SQL Server",
"tag": "in_db"
},
{
"skill": "Oracle",
"tag": "new"
},
{
"skill": "Oracle Database tuning",
"tag": "new"
},
{
"skill": "SQL tuning",
"tag": "in_db"
},
{
"skill": "ODS",
"tag": "new"
},
{
"skill": "Data cleaning",
"tag": "in_db"
},
{
"skill": "OLAP",
"tag": "new"
},
{
"skill": "Aggregate",
"tag": "new"
},
{
"skill": "Expression",
"tag": "new"
},
{
"skill": "Filter",
"tag": "in_db"
},
{
"skill": "Sequence Generator",
"tag": "new"
},
{
"skill": "Update Strategy",
"tag": "new"
},
{
"skill": "Union",
"tag": "new"
},
{
"skill": "Lookup",
"tag": "new"
},
{
"skill": "Joiner",
"tag": "new"
},
{
"skill": "XML Source Qualifier",
"tag": "new"
},
{
"skill": "Stored Procedure",
"tag": "new"
},
{
"skill": "Address Validator",
"tag": "new"
},
{
"skill": "Parser",
"tag": "new"
},
{
"skill": "Matching",
"tag": "new"
},
{
"skill": "Data validation",
"tag": "new"
},
{
"skill": "Data manipulation",
"tag": "new"
},
{
"skill": "Data analysis",
"tag": "new"
},
{
"skill": "SDLC",
"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": "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 \u0026 DSLs",
"id": 475,
"rationale": "Oversee and guide the selection and effective use of programming and domain\u2010specific languages in software projects.",
"slug": "programming-languages-dsls",
"source": "db"
},
"dimension_id": 475,
"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": "Engineering Manager",
"id": 121,
"rationale": null,
"role_archetype": null,
"slug": "engineering-manager",
"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": "Software Concepts, Patterns \u0026 Practices",
"id": 478,
"rationale": "Champion foundational software design patterns, development methodologies, and engineering best practices.",
"slug": "software-concepts-patterns-practices",
"source": "db"
},
"dimension_id": 478,
"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": [
{
"display_name": "Engineering Manager",
"id": 121,
"rationale": null,
"role_archetype": null,
"slug": "engineering-manager",
"source": "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": "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": "Scrum",
"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": 1215,
"skill_tag": "in_db",
"skipped_reason": null
},
{
"chosen_role_id": 50,
"dimension": {
"difficulty_hint": "well_known",
"display_name": "Software Concepts, Patterns \u0026 Practices",
"id": 478,
"rationale": "Champion foundational software design patterns, development methodologies, and engineering best practices.",
"slug": "software-concepts-patterns-practices",
"source": "db"
},
"dimension_id": 478,
"input_skill": "Scrum",
"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": "Engineering Manager",
"id": 121,
"rationale": null,
"role_archetype": null,
"slug": "engineering-manager",
"source": "db"
}
],
"skill_dimension_saved": true,
"skill_id": 1215,
"skill_tag": "in_db",
"skipped_reason": null
},
{
"chosen_role_id": 50,
"dimension": {
"difficulty_hint": "well_known",
"display_name": "Relational Database Design",
"id": 4,
"rationale": "Modeling and operating relational persistence for backend services. Includes schema design, normalization, indexing, transactions, and query tuning for operational data stores.",
"slug": "relational-database-design",
"source": "db"
},
"dimension_id": 4,
"input_skill": "SQL Server",
"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": ".NET Backend Developer",
"id": 83,
"rationale": null,
"role_archetype": "Engineering",
"slug": "dotnet-backend-developer",
"source": "db"
},
{
"display_name": "Backend Developer",
"id": 1,
"rationale": null,
"role_archetype": "A Backend Engineer designs, builds, and maintains the server-side logic and data handling that power applications and services. They focus on implementing reliable business functionality, integrating with other systems, and ensuring the backend is scalable, maintainable, and observable.",
"slug": "backend-engineer",
"source": "db"
},
{
"display_name": "Kotlin Backend Developer",
"id": 84,
"rationale": null,
"role_archetype": "Engineering",
"slug": "kotlin-server-backend-developer",
"source": "db"
},
{
"display_name": "Node.js Backend Developer",
"id": 82,
"rationale": null,
"role_archetype": "Engineering",
"slug": "node-backend-developer",
"source": "db"
},
{
"display_name": "Python Backend Developer",
"id": 80,
"rationale": null,
"role_archetype": "Engineering",
"slug": "python-backend-developer",
"source": "db"
},
{
"display_name": "Ruby Backend Developer",
"id": 85,
"rationale": null,
"role_archetype": "Engineering",
"slug": "ruby-backend-developer",
"source": "db"
},
{
"display_name": "Scala Backend Developer",
"id": 87,
"rationale": null,
"role_archetype": "Engineering",
"slug": "scala-backend-developer",
"source": "db"
}
],
"skill_dimension_saved": true,
"skill_id": 18,
"skill_tag": "in_db",
"skipped_reason": null
},
{
"chosen_role_id": 50,
"dimension": {
"difficulty_hint": "well_known",
"display_name": "Relational Database Design",
"id": 4,
"rationale": "Modeling and operating relational persistence for backend services. Includes schema design, normalization, indexing, transactions, and query tuning for operational data stores.",
"slug": "relational-database-design",
"source": "db"
},
"dimension_id": 4,
"input_skill": "SQL tuning",
"llm_role": null,
"matched_chosen_role": false,
"outcome_line": "Skipped \u2014 no persistable v3 meta for new skill",
"role_dimension_saved": false,
"roles_from_db": [
{
"display_name": ".NET Backend Developer",
"id": 83,
"rationale": null,
"role_archetype": "Engineering",
"slug": "dotnet-backend-developer",
"source": "db"
},
{
"display_name": "Backend Developer",
"id": 1,
"rationale": null,
"role_archetype": "A Backend Engineer designs, builds, and maintains the server-side logic and data handling that power applications and services. They focus on implementing reliable business functionality, integrating with other systems, and ensuring the backend is scalable, maintainable, and observable.",
"slug": "backend-engineer",
"source": "db"
},
{
"display_name": "Kotlin Backend Developer",
"id": 84,
"rationale": null,
"role_archetype": "Engineering",
"slug": "kotlin-server-backend-developer",
"source": "db"
},
{
"display_name": "Node.js Backend Developer",
"id": 82,
"rationale": null,
"role_archetype": "Engineering",
"slug": "node-backend-developer",
"source": "db"
},
{
"display_name": "Python Backend Developer",
"id": 80,
"rationale": null,
"role_archetype": "Engineering",
"slug": "python-backend-developer",
"source": "db"
},
{
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