Pipeline run
3fe99375-e23e-4048-bfa6-4264a7be201e
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 Strong understanding of Data modelling, data warehousing, data marts, Business Intelligence with ability to solve business problems 2 Excellent understanding of ETL and EDW toolsets on the Duck Cree…
1 POST /skills/extract-from-jd
2 POST /skills/extract-details
3 POST /skills/final-role-output
BI Developer
domain · Data Engineering & Analytics CASE DOMAINslug: bi-developer · id: 147 · source: db
Domain=Data Engineering & Analytics; The JD is centered on Duck Creek Insights, SSIS/SSRS/Power BI reporting, SQL Server/T-SQL, and BI/EDW work, which best matches a BI Developer role.
Matched skills
Matched dimensions
Matched KRAs
Resolution:
in_db
— role exists in library; skill↔dim and role↔dim links saved when applicable.
Job description
· Key Responsibilities : 1 Strong understanding of Data modelling, data warehousing, data marts, Business Intelligence with ability to solve business problems 2 Excellent understanding of ETL and EDW toolsets on the Duck Creek Data Insights toolset 3 Working knowledge on Duck Creek Insight product overall architecture flow, Data hub, Extract mapper etc4 Understanding of data related to business application areas policy, billing, and claims business solutions 5 Working Experience in Agile methodology · Technical Experience : 1 Minimum 1 year working experience on Duck Creek Insights product 2 Should have strong hands on knowledge on Duck Creek Insight product , SQL Server /DB level configuration , T-SQL ,XSL/XSLT ,MSBI etc 3 Strong hands-on experience on SSIS , SSRS/ Power BI Reports , ETL process and tool · Professional Attributes : 1 Should have Good Communication skills 2 Should have good Analytical Skills 3 Should be able to work in large teams
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
- domain modeling (CANONICAL) primary
- Domain Modeling (CANONICAL)
Context tags (catalog)
Stored enrichment (catalog DB)
- Category
- Methodology
- Sub-category
- Domain Modeling
- Confidence
- 0.90
- Version strategy
- NOT_APPLICABLE
Maturity reasoning: Common in software JDs under DDD/business analysis; many roles ask for domain modeling or domain-driven design, and it remains a standard design skill rather than a niche tool.
Skill profile (library / DB)
- Skill nature
- METHODOLOGY
- Volatility
- STABLE
- Typical lifespan
- EVERGREEN
- Category id
- 8
- Sub-category id
- 2831
- Extractable
- True
- Also category
- False
Dimensions (API 2 worklist)
-
Application Architecture Patterns Catalog dimension db id 293
Library dimension (catalog)
Roles linked in library: .NET Backend Developer, Python Backend Developer
-
Service Architecture and Design Patterns Catalog dimension db id 18
Library dimension (catalog)
Roles linked in library: Backend Developer, Java Backend Developer, Kotlin Backend Developer, Node.js Backend Developer, PHP Backend Developer, Ruby Backend Developer, Scala Backend Developer
API 3 link attempts (this skill)
| Dimension | Skill↔dim | Role↔dim | Outcome |
|---|---|---|---|
|
Application Architecture Patterns
application-architecture-patterns
|
— | — |
Skipped — no persistable v3 meta for new skill
skill_not_in_db_v3_proposed
|
|
Service Architecture and Design Patterns
service-architecture-and-design-patterns
|
— | — |
Skipped — no persistable v3 meta for new skill
skill_not_in_db_v3_proposed
|
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
- 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
- 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
- Data Engineering Tools
- Sub-category
- general
- Skill nature
- PRACTICE
- 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
- 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
- Data Engineering Tools
- Sub-category
- general
- Skill nature
- TOOL
- Volatility
- FAST
- Typical lifespan
- SHORT_LIVED
- Version strategy
- VERSIONED
Skill enrichment (orchestrator / LLM)
No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).
- Category
- Data Engineering Tools
- Sub-category
- general
- Skill nature
- TOOL
- Volatility
- FAST
- Typical lifespan
- SHORT_LIVED
- Version strategy
- VERSIONED
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
- Data Engineering Tools
- Sub-category
- general
- Skill nature
- TOOL
- Volatility
- FAST
- Typical lifespan
- SHORT_LIVED
- Version strategy
- VERSIONED
Aliases — catalog
- Agile (CANONICAL) primary
Context tags (catalog)
Stored enrichment (catalog DB)
- Category
- Methodology
- Sub-category
- Agile
- Confidence
- 0.99
- Version strategy
- NOT_APPLICABLE
Maturity reasoning: Agile appears in a large share of software job descriptions and is a standard hiring-pipeline requirement; Scrum/Kanban are commonly listed alongside it, showing broad market adoption.
Skill profile (library / DB)
- Skill nature
- METHODOLOGY
- Volatility
- STABLE
- Typical lifespan
- EVERGREEN
- Category id
- 8
- Sub-category id
- 367
- Extractable
- True
- Also category
- False
Dimensions (API 2 worklist)
-
React Frontend Development Catalog dimension db id 96
Library dimension (catalog)
API 3 link attempts (this skill)
| Dimension | Skill↔dim | Role↔dim | Outcome |
|---|---|---|---|
|
React Frontend Development
d_init_01
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) |
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
- Programming Languages
- Sub-category
- general
- Skill nature
- LANGUAGE
- Volatility
- STABLE
- Typical lifespan
- EVERGREEN
- Version strategy
- UNVERSIONED
Skill enrichment (orchestrator / LLM)
No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).
- Category
- Programming Languages
- Sub-category
- general
- Skill nature
- LANGUAGE
- 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
- Programming Languages
- Sub-category
- general
- Skill nature
- LANGUAGE
- 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
- Data Engineering Tools
- Sub-category
- general
- Skill nature
- TOOL
- Volatility
- FAST
- Typical lifespan
- SHORT_LIVED
- Version strategy
- VERSIONED
Skill enrichment (orchestrator / LLM)
No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).
- Category
- Data Engineering Tools
- Sub-category
- general
- Skill nature
- TOOL
- Volatility
- MEDIUM
- Typical lifespan
- MULTI_YEAR
- Version strategy
- UNVERSIONED
Skill enrichment (orchestrator / LLM)
No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).
- Category
- Data Engineering Tools
- Sub-category
- general
- Skill nature
- TOOL
- Volatility
- MEDIUM
- Typical lifespan
- MULTI_YEAR
- Version strategy
- UNVERSIONED
Aliases — catalog
- Power BI (CANONICAL) primary
Context tags (catalog)
Stored enrichment (catalog DB)
- Category
- Platform
- Sub-category
- Bi Analytics Platform
- Vendor
- Microsoft
- License
- proprietary
- Year introduced
- 2015
- Confidence
- 0.96
- Version strategy
- NOT_APPLICABLE
Maturity reasoning: Power BI appears frequently in BI/data analyst job descriptions and is a standard Microsoft analytics platform in enterprise stacks, with strong vendor support and broad adoption.
Skill profile (library / DB)
- Skill nature
- PLATFORM
- Volatility
- STABLE
- Typical lifespan
- EVERGREEN
- Category id
- 9
- Sub-category id
- 111
- Extractable
- True
- Also category
- False
Dimensions (API 2 worklist)
-
BI and Visualization Tools Catalog dimension db id 31
Library dimension (catalog)
Roles linked in library: Data Engineer
API 3 link attempts (this skill)
| Dimension | Skill↔dim | Role↔dim | Outcome |
|---|---|---|---|
|
BI and Visualization Tools
bi-and-visualization-tools
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) |
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 |
|---|---|---|---|---|---|---|
| Data Modeling | new |
Application Architecture Patterns
application-architecture-patterns
|
— | — | Skipped — no persistable v3 meta for new skill | skill_not_in_db_v3_proposed |
| Data Modeling | new |
Service Architecture and Design Patterns
service-architecture-and-design-patterns
|
— | — | Skipped — no persistable v3 meta for new skill | skill_not_in_db_v3_proposed |
| Agile | in_db |
React Frontend Development
d_init_01
|
✓ | — | 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) | |
| Power BI | in_db |
BI and Visualization Tools
bi-and-visualization-tools
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) |
Library artifacts (this run)
| Kind | Detail | DB id |
|---|---|---|
| canonical_skill_proposed | Data Warehousing | type=Data Engineering Tools subtype=general nature=CONCEPT lifespan=MULTI_YEAR | |
| canonical_skill_proposed | Data Marts | type=Data Engineering Tools subtype=general nature=CONCEPT lifespan=MULTI_YEAR | |
| canonical_skill_proposed | Business Intelligence | type=Data Engineering Tools subtype=general nature=CONCEPT lifespan=MULTI_YEAR | |
| canonical_skill_proposed | ETL | type=Data Engineering Tools subtype=general nature=PRACTICE lifespan=MULTI_YEAR | |
| canonical_skill_proposed | EDW | type=Data Engineering Tools subtype=general nature=CONCEPT lifespan=MULTI_YEAR | |
| canonical_skill_proposed | Duck Creek Data Insights | type=Data Engineering Tools subtype=general nature=TOOL lifespan=SHORT_LIVED | |
| canonical_skill_proposed | Duck Creek Insights | type=Data Engineering Tools subtype=general nature=TOOL lifespan=SHORT_LIVED | |
| canonical_skill_proposed | Data Hub | type=Data Engineering Tools subtype=general nature=CONCEPT lifespan=MULTI_YEAR | |
| canonical_skill_proposed | Extract Mapper | type=Data Engineering Tools subtype=general nature=TOOL lifespan=SHORT_LIVED | |
| canonical_skill_proposed | T-SQL | type=Programming Languages subtype=general nature=LANGUAGE lifespan=EVERGREEN | |
| canonical_skill_proposed | XSL | type=Programming Languages subtype=general nature=LANGUAGE lifespan=MULTI_YEAR | |
| canonical_skill_proposed | XSLT | type=Programming Languages subtype=general nature=LANGUAGE lifespan=MULTI_YEAR | |
| canonical_skill_proposed | MSBI | type=Data Engineering Tools subtype=general nature=TOOL lifespan=SHORT_LIVED | |
| canonical_skill_proposed | SSIS | type=Data Engineering Tools subtype=general nature=TOOL lifespan=MULTI_YEAR | |
| canonical_skill_proposed | SSRS | type=Data Engineering Tools subtype=general nature=TOOL lifespan=MULTI_YEAR | |
| dimension_skill_link_proposed | Data Modeling ↔ Application Architecture Patterns | |
| dimension_skill_link_proposed | Data Modeling ↔ Service Architecture and Design Patterns |
nano JD Parser — gpt-4.1-nano click to toggle
Show raw JSON
{
"JD_type": "pass",
"about_company": null,
"archetype_override_applied": true,
"archetype_override_matched_skills": [
"SQL Server",
"Power BI",
"Flow",
"Agile",
"SQL",
"claims"
],
"certifications": [],
"company_name": null,
"ctc": null,
"domain": {
"primary": {
"aliases": [],
"domain": "Other"
},
"secondary": null
},
"education": [],
"experience": {
"max": null,
"min": 1,
"raw": "Minimum 1 year working experience on Duck Creek Insights product"
},
"job_locations": [],
"role": null,
"role_aliases": [],
"role_archetype": "Engineering",
"roles_and_responsibilities": [
{
"bullet_count": 5,
"heading": "Key Responsibilities",
"heading_was_present": true,
"source_marker": {
"first_5_words": "1 Strong understanding of Data",
"last_5_words": "and claims business solutions 5"
},
"text": "1 Strong understanding of Data modelling, data warehousing, data marts, Business Intelligence with ability to solve business problems 2 Excellent understanding of ETL and EDW toolsets on the Duck Creek Data Insights toolset 3 Working knowledge on Duck Creek Insight product overall architecture flow, Data hub, Extract mapper etc 4 Understanding of data related to business application areas policy, billing, and claims business solutions 5 Working Experience in Agile methodology",
"word_count": 66
},
{
"bullet_count": 3,
"heading": "Technical Experience",
"heading_was_present": true,
"source_marker": {
"first_5_words": "1 Minimum 1 year working",
"last_5_words": "ETL process and tool"
},
"text": "1 Minimum 1 year working experience on Duck Creek Insights product 2 Should have strong hands on knowledge on Duck Creek Insight product , SQL Server /DB level configuration , T-SQL ,XSL/XSLT ,MSBI etc 3 Strong hands-on experience on SSIS , SSRS/ Power BI Reports , ETL process and tool",
"word_count": 54
},
{
"bullet_count": 3,
"heading": "Professional Attributes",
"heading_was_present": true,
"source_marker": {
"first_5_words": "1 Should have Good Communication",
"last_5_words": "work in large teams"
},
"text": "1 Should have Good Communication skills 2 Should have good Analytical Skills 3 Should be able to work in large teams",
"word_count": 27
}
],
"urls": []
}
API 1 — extract-from-jd click to toggle
{
"final_skills": [
{
"is_primary": true,
"skill_name": "Data Modeling"
},
{
"is_primary": true,
"skill_name": "Data Warehousing"
},
{
"is_primary": true,
"skill_name": "Data Marts"
},
{
"is_primary": true,
"skill_name": "Business Intelligence"
},
{
"is_primary": true,
"skill_name": "ETL"
},
{
"is_primary": true,
"skill_name": "EDW"
},
{
"is_primary": true,
"skill_name": "Duck Creek Data Insights"
},
{
"is_primary": true,
"skill_name": "Duck Creek Insights"
},
{
"is_primary": true,
"skill_name": "Data Hub"
},
{
"is_primary": true,
"skill_name": "Extract Mapper"
},
{
"is_primary": true,
"skill_name": "Agile"
},
{
"is_primary": true,
"skill_name": "SQL Server"
},
{
"is_primary": true,
"skill_name": "T-SQL"
},
{
"is_primary": true,
"skill_name": "XSL"
},
{
"is_primary": true,
"skill_name": "XSLT"
},
{
"is_primary": true,
"skill_name": "MSBI"
},
{
"is_primary": true,
"skill_name": "SSIS"
},
{
"is_primary": true,
"skill_name": "SSRS"
},
{
"is_primary": true,
"skill_name": "Power BI"
}
],
"jd_role": null,
"nano_parsed": {
"JD_type": "pass",
"about_company": null,
"archetype_override_applied": true,
"archetype_override_matched_skills": [
"SQL Server",
"Power BI",
"Flow",
"Agile",
"SQL",
"claims"
],
"certifications": [],
"company_name": null,
"ctc": null,
"domain": {
"primary": {
"aliases": [],
"domain": "Other"
},
"secondary": null
},
"education": [],
"experience": {
"max": null,
"min": 1,
"raw": "Minimum 1 year working experience on Duck Creek Insights product"
},
"job_locations": [],
"role": null,
"role_aliases": [],
"role_archetype": "Engineering",
"roles_and_responsibilities": [
{
"bullet_count": 5,
"heading": "Key Responsibilities",
"heading_was_present": true,
"source_marker": {
"first_5_words": "1 Strong understanding of Data",
"last_5_words": "and claims business solutions 5"
},
"text": "1 Strong understanding of Data modelling, data warehousing, data marts, Business Intelligence with ability to solve business problems 2 Excellent understanding of ETL and EDW toolsets on the Duck Creek Data Insights toolset 3 Working knowledge on Duck Creek Insight product overall architecture flow, Data hub, Extract mapper etc 4 Understanding of data related to business application areas policy, billing, and claims business solutions 5 Working Experience in Agile methodology",
"word_count": 66
},
{
"bullet_count": 3,
"heading": "Technical Experience",
"heading_was_present": true,
"source_marker": {
"first_5_words": "1 Minimum 1 year working",
"last_5_words": "ETL process and tool"
},
"text": "1 Minimum 1 year working experience on Duck Creek Insights product 2 Should have strong hands on knowledge on Duck Creek Insight product , SQL Server /DB level configuration , T-SQL ,XSL/XSLT ,MSBI etc 3 Strong hands-on experience on SSIS , SSRS/ Power BI Reports , ETL process and tool",
"word_count": 54
},
{
"bullet_count": 3,
"heading": "Professional Attributes",
"heading_was_present": true,
"source_marker": {
"first_5_words": "1 Should have Good Communication",
"last_5_words": "work in large teams"
},
"text": "1 Should have Good Communication skills 2 Should have good Analytical Skills 3 Should be able to work in large teams",
"word_count": 27
}
],
"urls": []
},
"rejected": false,
"rejection_reason": null,
"run_id": "3fe99375-e23e-4048-bfa6-4264a7be201e",
"stage3_signals": {
"alias_found": false,
"alias_match_roles": [],
"kra_match_roles": [
{
"display_name": "Data Engineer",
"kra_matches": [
{
"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": "1 Strong understanding of Data modelling, data warehousing, data marts, Business Intelligence with ability to solve business problems 2 Excellent understanding of ETL and EDW toolsets on the Duck Creek Data Insights toolset 3 Working knowledge on Duck Creek Insight product overall architecture flow, Data hub, Extract mapper etc 4 Understanding of data related to business application areas policy, billing, and claims business solutions 5 Working Experience in Agile methodology",
"similarity": 0.5513
},
{
"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": "1 Minimum 1 year working experience on Duck Creek Insights product 2 Should have strong hands on knowledge on Duck Creek Insight product , SQL Server /DB level configuration , T-SQL ,XSL/XSLT ,MSBI etc 3 Strong hands-on experience on SSIS , SSRS/ Power BI Reports , ETL process and tool",
"similarity": 0.4212
},
{
"kra_text": "Works with data analysts, data scientists, and business stakeholders to define data models, ingestion schedules, and data delivery requirements.",
"sentence": "1 Should have Good Communication skills 2 Should have good Analytical Skills 3 Should be able to work in large teams",
"similarity": 0.3618
}
],
"matched_count": null,
"matched_skills": null,
"role_id": 2,
"score": 0.4447,
"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": "1 Minimum 1 year working experience on Duck Creek Insights product 2 Should have strong hands on knowledge on Duck Creek Insight product , SQL Server /DB level configuration , T-SQL ,XSL/XSLT ,MSBI etc 3 Strong hands-on experience on SSIS , SSRS/ Power BI Reports , ETL process and tool",
"similarity": 0.3668
},
{
"kra_text": "Works closely with product managers and UX designers to translate requirements and wireframes into working software features through iterative development.",
"sentence": "1 Strong understanding of Data modelling, data warehousing, data marts, Business Intelligence with ability to solve business problems 2 Excellent understanding of ETL and EDW toolsets on the Duck Creek Data Insights toolset 3 Working knowledge on Duck Creek Insight product overall architecture flow, Data hub, Extract mapper etc 4 Understanding of data related to business application areas policy, billing, and claims business solutions 5 Working Experience in Agile methodology",
"similarity": 0.3649
},
{
"kra_text": "Works closely with product managers and UX designers to translate requirements and wireframes into working software features through iterative development.",
"sentence": "1 Should have Good Communication skills 2 Should have good Analytical Skills 3 Should be able to work in large teams",
"similarity": 0.3297
}
],
"matched_count": null,
"matched_skills": null,
"role_id": 15,
"score": 0.3538,
"slug": "full-stack-engineer",
"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": "1 Strong understanding of Data modelling, data warehousing, data marts, Business Intelligence with ability to solve business problems 2 Excellent understanding of ETL and EDW toolsets on the Duck Creek Data Insights toolset 3 Working knowledge on Duck Creek Insight product overall architecture flow, Data hub, Extract mapper etc 4 Understanding of data related to business application areas policy, billing, and claims business solutions 5 Working Experience in Agile methodology",
"similarity": 0.3788
},
{
"kra_text": "Conducts architecture reviews, approves technical design documents, and guides engineering teams through cloud migration and modernization projects.",
"sentence": "1 Should have Good Communication skills 2 Should have good Analytical Skills 3 Should be able to work in large teams",
"similarity": 0.3401
},
{
"kra_text": "Conducts architecture reviews, approves technical design documents, and guides engineering teams through cloud migration and modernization projects.",
"sentence": "1 Minimum 1 year working experience on Duck Creek Insights product 2 Should have strong hands on knowledge on Duck Creek Insight product , SQL Server /DB level configuration , T-SQL ,XSL/XSLT ,MSBI etc 3 Strong hands-on experience on SSIS , SSRS/ Power BI Reports , ETL process and tool",
"similarity": 0.3338
}
],
"matched_count": null,
"matched_skills": null,
"role_id": 9,
"score": 0.3509,
"slug": "cloud-architect",
"total_count": null
},
{
"display_name": "AI Engineer",
"kra_matches": [
{
"kra_text": "Documents AI feature capabilities, known limitations, failure modes, prompt versioning, and operational runbooks for engineering and product teams.",
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},
{
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{
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],
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"matched_skills": null,
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},
{
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{
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},
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],
"matched_count": null,
"matched_skills": null,
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"score": 0.3395,
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}
],
"skill_match_roles": [
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"matched_count": 1,
"matched_skills": [
"SQL Server"
],
"role_id": 1,
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},
{
"display_name": "Data Engineer",
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"role_id": 2,
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},
{
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],
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"score": 0.0526,
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},
{
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"SQL Server"
],
"role_id": 82,
"score": 0.0526,
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},
{
"display_name": ".NET Backend Developer",
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"SQL Server"
],
"role_id": 83,
"score": 0.0526,
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}
]
},
"stage4_decision": {
"alias_collision_detected": false,
"case": "DOMAIN",
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"matched_count": null,
"matched_skills": null,
"role_id": 147,
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},
"confidence": 0.95,
"is_new_role": false,
"llm2_fired": false,
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"T-SQL",
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"new_role_slug": null,
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"reasoning": "Domain=Data Engineering \u0026 Analytics; The JD is centered on Duck Creek Insights, SSIS/SSRS/Power BI reporting, SQL Server/T-SQL, and BI/EDW work, which best matches a BI Developer role.",
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},
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"centroid_n_after": 4,
"centroid_updated": true,
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},
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"is_primary": true,
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},
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},
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},
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},
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"is_primary": true,
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"role_display_name": "BI Developer",
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},
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"is_primary": true,
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},
{
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},
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},
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},
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},
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},
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},
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},
{
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},
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},
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],
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"v3_pipeline_triggered": false,
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"v3_run_id": null
}
}
API 2 — extract-details
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"matched_via": "embedding_alias"
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{
"alias_persist_skipped_reason": "alias_text already exists for this canonical skill",
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"matched_via": "alias"
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"alias_persist_skipped_reason": "alias_text already exists for this canonical skill",
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},
"matched_via": "alias"
},
{
"alias_persist_skipped_reason": "alias_text already exists for this canonical skill",
"alias_persisted": false,
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"matched_via": "alias"
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]
},
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},
{
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]
},
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],
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{
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},
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}
],
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},
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{
"dimension": {
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},
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}
],
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},
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},
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},
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},
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},
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},
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],
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}
],
"unmatched_skills": [
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"Duck Creek Insights",
"Data Hub",
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"XSL",
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]
}
API 3 — final-role-output
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},
"chosen_role_resolution": "in_db",
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{
"skill": "Data Modeling",
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},
{
"skill": "Data Warehousing",
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},
{
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},
{
"skill": "Business Intelligence",
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},
{
"skill": "ETL",
"tag": "new"
},
{
"skill": "EDW",
"tag": "new"
},
{
"skill": "Duck Creek Data Insights",
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},
{
"skill": "Duck Creek Insights",
"tag": "new"
},
{
"skill": "Data Hub",
"tag": "new"
},
{
"skill": "Extract Mapper",
"tag": "new"
},
{
"skill": "Agile",
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},
{
"skill": "SQL Server",
"tag": "in_db"
},
{
"skill": "T-SQL",
"tag": "new"
},
{
"skill": "XSL",
"tag": "new"
},
{
"skill": "XSLT",
"tag": "new"
},
{
"skill": "MSBI",
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},
{
"skill": "SSIS",
"tag": "new"
},
{
"skill": "SSRS",
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},
{
"skill": "Power BI",
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}
],
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"llm_cost_api2_usd": null,
"llm_cost_api3_usd": null,
"llm_cost_total_usd": null,
"persistence": {
"items": [
{
"chosen_role_id": 147,
"dimension": {
"difficulty_hint": "well_known",
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LLM Calls
Every model call made for this run, in pipeline order. Click a card to see the model's response.