Pipeline run
74a63044-e3f7-4971-8f98-7866da2d60e1
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
1 POST /skills/extract-from-jd
2 POST /skills/extract-details
3 POST /skills/final-role-output
Data Engineer
domain · Data Engineering & Analytics CASE DOMAINslug: data-engineer · id: 2 · source: db
Domain=Data Engineering & Analytics; The JD centers on Hadoop development, MapReduce, designing and architecting data applications, and deriving business intelligence from large data volumes, which best matches Data Engineer.
Matched skills
Matched dimensions
Matched KRAs
Resolution:
in_db
— role exists in library; skill↔dim and role↔dim links saved when applicable.
Job description
About Accenture: Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Interactive, Technology and Operations services-all powered by the world's largest network of Advanced Technology and Intelligent Operations centers. Our 624,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities. Visit us at www.accenture.com Accenture | Let there be change We embrace change to create 360-degree value www.accenture.com Project Role :Application Developer Project Role Description :Design, build and configure applications to meet business process and application requirements. Management Level :10 Work Experience :4-6 years Work location :Pune Must Have Skills :Hadoop Good To Have Skills :UNIX Shell Scripting Job Requirements : Key Responsibilities : a: work with customer to document requirements, Produce high level/low level design and impliment them b: work with huge volumes of data so as to derive Business Intelligence c: analyze data, uncover information, derive insights, and propose data-driven strategies Technical Experience : a: 3 years of experience as hadoop developer b: Design, develop, document, and architect Hadoop applications c: Develop MapReduce coding that works seamlessly on Hadoop clusters c: Understanding of database theories, structures, categories, properties, and best practices Professional Attributes : a: Excellent written and verbal communication skills b: Good organizational skills c: Good Team Player Educational Qualification : BTECH 15 years of full time education
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
- Hadoop (CANONICAL)
Context tags (catalog)
Stored enrichment (catalog DB)
- Category
- Framework
- Sub-category
- Data Processing Framework
- Vendor
- Apache Software Foundation
- License
- apache_2
- Year introduced
- 2006
- Confidence
- 0.90
- Version strategy
- NOT_APPLICABLE
Maturity reasoning: Job postings still mention Hadoop for legacy big-data stacks, but JD volume has fallen as Spark and cloud warehouses replaced MapReduce-era clusters.
Skill profile (library / DB)
- Skill nature
- FRAMEWORK
- Volatility
- STABLE
- Typical lifespan
- EVERGREEN
- Category id
- 5
- Sub-category id
- 91
- 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 saved |
Skill enrichment (orchestrator / LLM)
No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).
- Category
- Data Engineering Tools
- Sub-category
- general
- Skill nature
- CONCEPT
- 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
- Concepts
- Sub-category
- general
- Skill nature
- CONCEPT
- 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
- Databases
- Sub-category
- general
- Skill nature
- CONCEPT
- Volatility
- STABLE
- Typical lifespan
- EVERGREEN
- Version strategy
- UNVERSIONED
All API 3 persistence rows
Same grid as the skill-extractor “Persistence items” table: one row per (skill × dimension) work item.
| Skill | Tag | Dimension | Skill↔dim | Role↔dim | Outcome | Notes |
|---|---|---|---|---|---|---|
| Hadoop | in_db |
ETL and ELT Tooling
etl-and-elt-tooling
|
✓ | ✓ | Existing dimension (library) · Role↔dimension saved |
Library artifacts (this run)
| Kind | Detail | DB id |
|---|---|---|
| canonical_skill_proposed | MapReduce | type=Data Engineering Tools subtype=general nature=CONCEPT lifespan=MULTI_YEAR | |
| canonical_skill_proposed | Business Intelligence | type=Concepts subtype=general nature=CONCEPT lifespan=MULTI_YEAR | |
| canonical_skill_proposed | Database Theory | type=Databases subtype=general nature=CONCEPT lifespan=EVERGREEN |
nano JD Parser — gpt-4.1-nano click to toggle
Show raw JSON
{
"JD_type": "pass",
"about_company": {
"source_marker": {
"first_5_words": "About Accenture: Accenture is a",
"last_5_words": "shareholders, partners and communities."
},
"text": "About Accenture: Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Interactive, Technology and Operations services-all powered by the world\u0027s largest network of Advanced Technology and Intelligent Operations centers. Our 624,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.",
"word_count": 84
},
"certifications": [],
"company_name": "Accenture",
"ctc": null,
"domain": {
"primary": {
"aliases": [
"ITES",
"BPO",
"Tech Consulting"
],
"domain": "IT Services \u0026 Consulting"
},
"secondary": null
},
"education": [
{
"level": "Bachelor\u0027s",
"qualification": "BTECH - Any Discipline",
"raw": "BTECH",
"requirement": "required"
}
],
"experience": {
"max": 6,
"min": 4,
"raw": "4-6 years"
},
"job_locations": [
{
"aliases": [
"Puna"
],
"city": "Pune",
"country": "India",
"state": null,
"work_mode": null
}
],
"role": "Application Developer",
"role_aliases": [
"App Developer",
"Software Developer",
"Hadoop Developer"
],
"role_archetype": "Engineering",
"roles_and_responsibilities": [
{
"bullet_count": 3,
"heading": "Key Responsibilities",
"heading_was_present": true,
"source_marker": {
"first_5_words": "a: work with customer to",
"last_5_words": "data-driven strategies"
},
"text": "a: work with customer to document requirements, Produce high level/low level design and impliment them b: work with huge volumes of data so as to derive Business Intelligence c: analyze data, uncover information, derive insights, and propose data-driven strategies",
"word_count": 43
},
{
"bullet_count": 4,
"heading": "Technical Experience",
"heading_was_present": true,
"source_marker": {
"first_5_words": "a: 3 years of experience",
"last_5_words": "and best practices"
},
"text": "a: 3 years of experience as hadoop developer b: Design, develop, document, and architect Hadoop applications c: Develop MapReduce coding that works seamlessly on Hadoop clusters c: Understanding of database theories, structures, categories, properties, and best practices",
"word_count": 47
},
{
"bullet_count": 3,
"heading": "Professional Attributes",
"heading_was_present": true,
"source_marker": {
"first_5_words": "a: Excellent written and verbal",
"last_5_words": "Good Team Player"
},
"text": "a: Excellent written and verbal communication skills b: Good organizational skills c: Good Team Player",
"word_count": 22
}
],
"urls": [
{
"type": "website",
"url": "www.accenture.com"
}
]
}
API 1 — extract-from-jd click to toggle
{
"final_skills": [
{
"is_primary": true,
"skill_name": "Hadoop"
},
{
"is_primary": true,
"skill_name": "MapReduce"
},
{
"is_primary": false,
"skill_name": "Business Intelligence"
},
{
"is_primary": false,
"skill_name": "Database Theory"
}
],
"jd_role": {
"display_name": "Application Developer",
"rationale": null,
"role_aliases": [
"App Developer",
"Software Developer",
"Hadoop Developer"
],
"role_archetype": "Engineering",
"slug": ""
},
"nano_parsed": {
"JD_type": "pass",
"about_company": {
"source_marker": {
"first_5_words": "About Accenture: Accenture is a",
"last_5_words": "shareholders, partners and communities."
},
"text": "About Accenture: Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Interactive, Technology and Operations services-all powered by the world\u0027s largest network of Advanced Technology and Intelligent Operations centers. Our 624,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.",
"word_count": 84
},
"certifications": [],
"company_name": "Accenture",
"ctc": null,
"domain": {
"primary": {
"aliases": [
"ITES",
"BPO",
"Tech Consulting"
],
"domain": "IT Services \u0026 Consulting"
},
"secondary": null
},
"education": [
{
"level": "Bachelor\u0027s",
"qualification": "BTECH - Any Discipline",
"raw": "BTECH",
"requirement": "required"
}
],
"experience": {
"max": 6,
"min": 4,
"raw": "4-6 years"
},
"job_locations": [
{
"aliases": [
"Puna"
],
"city": "Pune",
"country": "India",
"state": null,
"work_mode": null
}
],
"role": "Application Developer",
"role_aliases": [
"App Developer",
"Software Developer",
"Hadoop Developer"
],
"role_archetype": "Engineering",
"roles_and_responsibilities": [
{
"bullet_count": 3,
"heading": "Key Responsibilities",
"heading_was_present": true,
"source_marker": {
"first_5_words": "a: work with customer to",
"last_5_words": "data-driven strategies"
},
"text": "a: work with customer to document requirements, Produce high level/low level design and impliment them b: work with huge volumes of data so as to derive Business Intelligence c: analyze data, uncover information, derive insights, and propose data-driven strategies",
"word_count": 43
},
{
"bullet_count": 4,
"heading": "Technical Experience",
"heading_was_present": true,
"source_marker": {
"first_5_words": "a: 3 years of experience",
"last_5_words": "and best practices"
},
"text": "a: 3 years of experience as hadoop developer b: Design, develop, document, and architect Hadoop applications c: Develop MapReduce coding that works seamlessly on Hadoop clusters c: Understanding of database theories, structures, categories, properties, and best practices",
"word_count": 47
},
{
"bullet_count": 3,
"heading": "Professional Attributes",
"heading_was_present": true,
"source_marker": {
"first_5_words": "a: Excellent written and verbal",
"last_5_words": "Good Team Player"
},
"text": "a: Excellent written and verbal communication skills b: Good organizational skills c: Good Team Player",
"word_count": 22
}
],
"urls": [
{
"type": "website",
"url": "www.accenture.com"
}
]
},
"rejected": false,
"rejection_reason": null,
"run_id": "74a63044-e3f7-4971-8f98-7866da2d60e1",
"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": "Backend Developer",
"kra_matches": null,
"matched_count": null,
"matched_skills": null,
"role_id": 1,
"score": 1.0,
"slug": "backend-engineer",
"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": "a: work with customer to document requirements, Produce high level/low level design and impliment them b: work with huge volumes of data so as to derive Business Intelligence c: analyze data, uncover information, derive insights, and propose data-driven strategies",
"similarity": 0.6063
},
{
"kra_text": "Designs dimensional models, star schemas, data vault structures, and curated data mart tables to support BI tools and self-service analytics consumption.",
"sentence": "a: 3 years of experience as hadoop developer b: Design, develop, document, and architect Hadoop applications c: Develop MapReduce coding that works seamlessly on Hadoop clusters c: Understanding of database theories, structures, categories, properties, and best practices",
"similarity": 0.4349
},
{
"kra_text": "Works with data analysts, data scientists, and business stakeholders to define data models, ingestion schedules, and data delivery requirements.",
"sentence": "a: Excellent written and verbal communication skills b: Good organizational skills c: Good Team Player",
"similarity": 0.2323
}
],
"matched_count": null,
"matched_skills": null,
"role_id": 2,
"score": 0.4245,
"slug": "data-engineer",
"total_count": null
},
{
"display_name": "Fullstack Developer",
"kra_matches": [
{
"kra_text": "Works closely with product managers and UX designers to translate requirements and wireframes into working software features through iterative development.",
"sentence": "a: work with customer to document requirements, Produce high level/low level design and impliment them b: work with huge volumes of data so as to derive Business Intelligence c: analyze data, uncover information, derive insights, and propose data-driven strategies",
"similarity": 0.462
},
{
"kra_text": "Designs and queries relational databases like PostgreSQL and document stores like MongoDB, writing migrations, indexes, and optimized queries.",
"sentence": "a: 3 years of experience as hadoop developer b: Design, develop, document, and architect Hadoop applications c: Develop MapReduce coding that works seamlessly on Hadoop clusters c: Understanding of database theories, structures, categories, properties, and best practices",
"similarity": 0.4314
},
{
"kra_text": "Works closely with product managers and UX designers to translate requirements and wireframes into working software features through iterative development.",
"sentence": "a: Excellent written and verbal communication skills b: Good organizational skills c: Good Team Player",
"similarity": 0.2601
}
],
"matched_count": null,
"matched_skills": null,
"role_id": 15,
"score": 0.3845,
"slug": "full-stack-engineer",
"total_count": null
},
{
"display_name": "Flutter Developer",
"kra_matches": [
{
"kra_text": "collaborate with design, product, and backend teams",
"sentence": "a: work with customer to document requirements, Produce high level/low level design and impliment them b: work with huge volumes of data so as to derive Business Intelligence c: analyze data, uncover information, derive insights, and propose data-driven strategies",
"similarity": 0.4489
},
{
"kra_text": "collaborate with design, product, and backend teams",
"sentence": "a: 3 years of experience as hadoop developer b: Design, develop, document, and architect Hadoop applications c: Develop MapReduce coding that works seamlessly on Hadoop clusters c: Understanding of database theories, structures, categories, properties, and best practices",
"similarity": 0.3543
},
{
"kra_text": "collaborate with design, product, and backend teams",
"sentence": "a: Excellent written and verbal communication skills b: Good organizational skills c: Good Team Player",
"similarity": 0.2798
}
],
"matched_count": null,
"matched_skills": null,
"role_id": 74,
"score": 0.361,
"slug": "flutter-developer",
"total_count": null
},
{
"display_name": "Engineering Manager",
"kra_matches": [
{
"kra_text": "facilitate technical and delivery decisions",
"sentence": "a: work with customer to document requirements, Produce high level/low level design and impliment them b: work with huge volumes of data so as to derive Business Intelligence c: analyze data, uncover information, derive insights, and propose data-driven strategies",
"similarity": 0.4376
},
{
"kra_text": "Set team goals and delivery plans",
"sentence": "a: Excellent written and verbal communication skills b: Good organizational skills c: Good Team Player",
"similarity": 0.3354
},
{
"kra_text": "facilitate technical and delivery decisions",
"sentence": "a: 3 years of experience as hadoop developer b: Design, develop, document, and architect Hadoop applications c: Develop MapReduce coding that works seamlessly on Hadoop clusters c: Understanding of database theories, structures, categories, properties, and best practices",
"similarity": 0.2941
}
],
"matched_count": null,
"matched_skills": null,
"role_id": 121,
"score": 0.3557,
"slug": "engineering-manager",
"total_count": null
},
{
"display_name": "Cloud Architect",
"kra_matches": [
{
"kra_text": "Conducts architecture reviews, approves technical design documents, and guides engineering teams through cloud migration and modernization projects.",
"sentence": "a: work with customer to document requirements, Produce high level/low level design and impliment them b: work with huge volumes of data so as to derive Business Intelligence c: analyze data, uncover information, derive insights, and propose data-driven strategies",
"similarity": 0.4074
},
{
"kra_text": "Conducts architecture reviews, approves technical design documents, and guides engineering teams through cloud migration and modernization projects.",
"sentence": "a: 3 years of experience as hadoop developer b: Design, develop, document, and architect Hadoop applications c: Develop MapReduce coding that works seamlessly on Hadoop clusters c: Understanding of database theories, structures, categories, properties, and best practices",
"similarity": 0.3759
},
{
"kra_text": "Conducts architecture reviews, approves technical design documents, and guides engineering teams through cloud migration and modernization projects.",
"sentence": "a: Excellent written and verbal communication skills b: Good organizational skills c: Good Team Player",
"similarity": 0.2591
}
],
"matched_count": null,
"matched_skills": null,
"role_id": 9,
"score": 0.3475,
"slug": "cloud-architect",
"total_count": null
}
],
"skill_match_roles": [
{
"display_name": "Data Engineer",
"kra_matches": null,
"matched_count": 1,
"matched_skills": [
"Hadoop"
],
"role_id": 2,
"score": 0.5,
"slug": "data-engineer",
"total_count": 2
}
]
},
"stage4_decision": {
"alias_collision_detected": false,
"case": "DOMAIN",
"chosen_role": {
"display_name": "Data Engineer",
"kra_matches": null,
"matched_count": null,
"matched_skills": null,
"role_id": 2,
"score": 0.96,
"slug": "data-engineer",
"total_count": null
},
"confidence": 0.96,
"is_new_role": false,
"llm2_fired": false,
"llm2_reasoning": null,
"matched_dimensions": [
"Hadoop application development",
"Data analysis and insight generation",
"Requirements analysis and design",
"Data architecture",
"Business intelligence support",
"Database fundamentals"
],
"matched_kras": [
"work with customer to document requirements",
"Produce high level/low level design",
"Design, develop, document, and architect Hadoop applications",
"Develop MapReduce coding that works seamlessly on Hadoop clusters",
"analyze data, uncover information, derive insights",
"propose data-driven strategies"
],
"matched_skills": [
"Hadoop",
"MapReduce",
"Hadoop clusters",
"Business Intelligence",
"database theories",
"data-driven strategies"
],
"new_role_display_name": null,
"new_role_slug": null,
"queued": false,
"reasoning": "Domain=Data Engineering \u0026 Analytics; The JD centers on Hadoop development, MapReduce, designing and architecting data applications, and deriving business intelligence from large data volumes, which best matches Data Engineer.",
"sub_role": null
},
"stage5_updates": {
"centroid_n_after": 519,
"centroid_updated": true,
"collision_log_id": null,
"new_kra_attached": null,
"new_skills_attached": [
{
"is_primary": true,
"queue_id": 25592,
"role_display_name": "Data Engineer",
"role_slug": "data-engineer",
"skill_name": "MapReduce",
"status": "pending"
},
{
"is_primary": false,
"queue_id": 25593,
"role_display_name": "Data Engineer",
"role_slug": "data-engineer",
"skill_name": "Business Intelligence",
"status": "pending"
},
{
"is_primary": false,
"queue_id": 25594,
"role_display_name": "Data Engineer",
"role_slug": "data-engineer",
"skill_name": "Database Theory",
"status": "pending"
}
],
"queue_entry_id": null,
"v3_pipeline_triggered": false,
"v3_role_slug": null,
"v3_run_id": null
}
}
API 2 — extract-details
{
"alias_matches": [
{
"alias_persist_skipped_reason": "alias_text already exists for this canonical skill",
"alias_persisted": false,
"existing_alias_id": 2010,
"existing_alias_text": "Hadoop",
"input_term": "Hadoop",
"matched_canonical": {
"category_id": 5,
"display_name": "Hadoop",
"id": 1351,
"is_also_category": false,
"is_extractable": true,
"skill_nature": "FRAMEWORK",
"slug": "hadoop",
"sub_category_id": 91,
"typical_lifespan": "EVERGREEN",
"volatility": "STABLE"
},
"matched_via": "alias"
}
],
"candidate_roles": [
{
"display_name": "Data Engineer",
"id": 2,
"rationale": null,
"role_archetype": null,
"slug": "data-engineer",
"source": "db"
}
],
"chosen_role": {
"display_name": "Data Engineer",
"id": 2,
"rationale": "Domain=Data Engineering \u0026 Analytics; The JD centers on Hadoop development, MapReduce, designing and architecting data applications, and deriving business intelligence from large data volumes, which best matches Data Engineer.",
"role_archetype": null,
"slug": "data-engineer",
"source": "db"
},
"dimensions": [
{
"dimension": {
"difficulty_hint": "well_known",
"display_name": "ETL and ELT Tooling",
"id": 24,
"rationale": "Packaged tools for extracting, loading, and transforming data across systems. This dimension covers connector-based ingestion, transformation frameworks, and managed integration products.",
"slug": "etl-and-elt-tooling",
"source": "db"
},
"input_skill": "Hadoop",
"llm_role": null,
"roles_from_db": [
{
"display_name": "Data Engineer",
"id": 2,
"rationale": null,
"role_archetype": null,
"slug": "data-engineer",
"source": "db"
}
]
}
],
"input_final_skills": [
"Hadoop",
"MapReduce",
"Business Intelligence",
"Database Theory"
],
"input_llm_skills": [
"Hadoop",
"MapReduce",
"Business Intelligence",
"Database Theory"
],
"new_aliases_persisted": 0,
"run_id": "74a63044-e3f7-4971-8f98-7866da2d60e1",
"skills_detail": [
{
"aliases_in_db": [
{
"alias_text": "Hadoop",
"alias_type": "CANONICAL",
"id": 2010,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
}
],
"canonical": {
"category_id": 5,
"display_name": "Hadoop",
"id": 1351,
"is_also_category": false,
"is_extractable": true,
"skill_nature": "FRAMEWORK",
"slug": "hadoop",
"sub_category_id": 91,
"typical_lifespan": "EVERGREEN",
"volatility": "STABLE"
},
"dimensions": [
{
"dimension": {
"difficulty_hint": "well_known",
"display_name": "ETL and ELT Tooling",
"id": 24,
"rationale": "Packaged tools for extracting, loading, and transforming data across systems. This dimension covers connector-based ingestion, transformation frameworks, and managed integration products.",
"slug": "etl-and-elt-tooling",
"source": "db"
},
"input_skill": "Hadoop",
"llm_role": null,
"roles_from_db": [
{
"display_name": "Data Engineer",
"id": 2,
"rationale": null,
"role_archetype": null,
"slug": "data-engineer",
"source": "db"
}
]
}
],
"input_skill": "Hadoop",
"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": "MapReduce",
"matched_via": null,
"new_alias_persisted": false,
"new_alias_text": null,
"new_skill_meta": {
"derived": {
"category": "Data Engineering Tools",
"skill_nature": "CONCEPT",
"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": "mapreduce",
"split_log": [],
"typed": null,
"warnings": []
},
"source_tag": "llm",
"was_in_llm_skills": true
},
{
"aliases_in_db": [],
"canonical": null,
"dimensions": [],
"input_skill": "Business Intelligence",
"matched_via": null,
"new_alias_persisted": false,
"new_alias_text": null,
"new_skill_meta": {
"derived": {
"category": "Concepts",
"skill_nature": "CONCEPT",
"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": "business-intelligence",
"split_log": [],
"typed": null,
"warnings": []
},
"source_tag": "llm",
"was_in_llm_skills": true
},
{
"aliases_in_db": [],
"canonical": null,
"dimensions": [],
"input_skill": "Database Theory",
"matched_via": null,
"new_alias_persisted": false,
"new_alias_text": null,
"new_skill_meta": {
"derived": {
"category": "Databases",
"skill_nature": "CONCEPT",
"sub_category": "general",
"typical_lifespan": "EVERGREEN",
"version_strategy": "UNVERSIONED",
"volatility": "STABLE"
},
"enrichment": null,
"keep_log": [],
"locked_dimensions": [],
"merge_log": [],
"placed": null,
"relationships": null,
"skill_id": "database-theory",
"split_log": [],
"typed": null,
"warnings": []
},
"source_tag": "llm",
"was_in_llm_skills": true
}
],
"unmatched_skills": [
"MapReduce",
"Business Intelligence",
"Database Theory"
]
}
API 3 — final-role-output
{
"chosen_role": {
"display_name": "Data Engineer",
"id": 2,
"rationale": "Domain=Data Engineering \u0026 Analytics; The JD centers on Hadoop development, MapReduce, designing and architecting data applications, and deriving business intelligence from large data volumes, which best matches Data Engineer.",
"role_archetype": null,
"slug": "data-engineer",
"source": "db"
},
"chosen_role_resolution": "in_db",
"final_input_skills": [
{
"skill": "Hadoop",
"tag": "in_db"
},
{
"skill": "MapReduce",
"tag": "new"
},
{
"skill": "Business Intelligence",
"tag": "new"
},
{
"skill": "Database Theory",
"tag": "new"
}
],
"llm_cost_api1_usd": null,
"llm_cost_api2_usd": null,
"llm_cost_api3_usd": null,
"llm_cost_total_usd": null,
"persistence": {
"items": [
{
"chosen_role_id": 2,
"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": "Hadoop",
"llm_role": null,
"matched_chosen_role": true,
"outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension saved",
"role_dimension_saved": true,
"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": 1351,
"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": "74a63044-e3f7-4971-8f98-7866da2d60e1"
}