Pipeline run
ef206e3a-76b7-402b-8c5f-f3fbe82adab8
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
Working with Business Systems Analysts, and directly with data consumers to develop data solutions for acquiring, managing, and publishing data. Partnering and collaborating with a diverse IT team inc…
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 Power BI/SSRS reporting, BI solutions, and supporting established reports, 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
Description The Senior Power BI developer will be a part of an international team of data-focused professionals that designs, develops and delivers new data solutions for Koch Industries. Koch Industries is a privately held global organization with over 120,000 employees around the world, with subsidiaries involved in manufacturing, trading, and investments. Koch Technology Center (KTC) is being developed in India to extend its IT operations, as well as act as a hub for innovation in the IT function. A Day In The Life Could Include (job responsibilities) Working with Business Systems Analysts, and directly with data consumers to develop data solutions for acquiring, managing, and publishing dataPartnering and collaborating with a diverse IT team including business analysts, architects, developers or vendors to create or optimize innovative technologies and solutionsExtracts data from different sources and transforms that data according to user requirements. And then loads data into various destinations.Design and create processes for contextualizing, cleaning, aggregating, and transforming data, making it better and more useful to the businessUnderstanding data infrastructure/technology landscapeDecompose high level business needs into functional needs by understanding problem and determining data needs.Manages the backend of the environment and supports stability of the environmentSupport of Data flow and connection points upstream and downstreamWork with customers to develop enhancements for established reports (experience & Education Required) What You Will Need To Bring With You: 3+ yearsof Data Integration and Data Reporting experienceExperience developing with MicrosoftSSIS, SSRS services and SQL serverUnderstanding of data Extraction, Transformation, and Load (ETL) process design and managementExperience developing in a data mart and cube environmentExperience developing solutions using AWS Cloud based data platformsExperience with data extraction and analysis using complex SQLExperience working with multiple disparate data sourcesExperience working in large-scale enterprise level implementation of BI projectsStrong conceptual, analytical, and problem-solving abilitiesStrong interpersonal and communication skills What Will Put You Ahead (experience & education preferred) Certified Amazon Web Services developmentExperience with big data in a manufacturing for a manufacturing operations. Other Considerations (physical demands/ unusual working conditions) You Are You are a practical problem solverYou are humbly competent and open about your progress, and take responsibility for your mistakes - learning as we grow togetherYou are comfortable respectfully challenging at all levels of the organizationYou are self-motivated and have a high attention to detailYou are looking for an opportunity to grow You Value You have a passion for delivering high quality results you can be proud ofYou bring people together, ask questions, and listen for what’s neededYou care about people and honoring them for who they are. Relationships and mutual respect are important for youYou value honesty, and are open to providing and receiving honest feedbackYou make yourself available to support others in achieving success, as well as the success of the greater goodYou strive to leverage other’s skills to maximize value creation Koch is proud to be an equal opportunity workplace
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
- 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) |
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
- 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
- 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
Aliases — catalog
- AWS (CANONICAL) primary
Context tags (catalog)
Stored enrichment (catalog DB)
- Category
- Platform
- Sub-category
- Cloud Platform
- Vendor
- Amazon
- License
- other_open
- Year introduced
- 2006
- Confidence
- 0.99
- Version strategy
- NOT_APPLICABLE
Maturity reasoning: AWS is a hiring-pipeline staple: it appears in a large share of cloud/DevOps job descriptions and dominates public cloud market share, with broad certification and vendor ecosystem support.
Skill profile (library / DB)
- Skill nature
- PLATFORM
- Volatility
- STABLE
- Typical lifespan
- EVERGREEN
- Category id
- 9
- Sub-category id
- 46
- Extractable
- True
- Also category
- False
Dimensions (API 2 worklist)
-
Cloud Platforms Catalog dimension db id 20
Library dimension (catalog)
Roles linked in library: .NET Backend Developer, Backend Developer, Cyber Security Engineer, Data Engineer, DevOps Engineer, Fullstack Developer, Go Backend Developer, Java Backend Developer, Kotlin Backend Developer, ML Engineer, MLOps Engineer, Node.js Backend Developer, Python Backend Developer, Scala Backend Developer
-
Cloud Platforms for AI Deployment Catalog dimension db id 211
Library dimension (catalog)
Roles linked in library: AI Engineer
-
Cloud Provider Platforms Catalog dimension db id 131
Library dimension (catalog)
Roles linked in library: Cloud Architect, Cloud Security Engineer
-
Cloud Security Posture Tools Catalog dimension db id 64
Library dimension (catalog)
Roles linked in library: Cloud Security Engineer, Cyber Security Engineer
-
Vendor Product Families Catalog dimension db id 477
Library dimension (catalog)
Roles linked in library: Engineering Manager
API 3 link attempts (this skill)
| Dimension | Skill↔dim | Role↔dim | Outcome |
|---|---|---|---|
|
Cloud Platforms
cloud-platforms
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) |
|
Cloud Platforms for AI Deployment
cloud-platforms-for-ai-deployment
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) |
|
Cloud Provider Platforms
cloud-provider-platforms
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) |
|
Cloud Security Posture Tools
cloud-security-posture-tools
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) |
|
Vendor Product Families
vendor-product-families
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) |
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) |
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
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 |
|---|---|---|---|---|---|---|
| Power BI | in_db |
BI and Visualization Tools
bi-and-visualization-tools
|
✓ | — | 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) | |
| AWS | in_db |
Cloud Platforms
cloud-platforms
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) | |
| AWS | in_db |
Cloud Platforms for AI Deployment
cloud-platforms-for-ai-deployment
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) | |
| AWS | in_db |
Cloud Provider Platforms
cloud-provider-platforms
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) | |
| AWS | in_db |
Cloud Security Posture Tools
cloud-security-posture-tools
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) | |
| AWS | in_db |
Vendor Product Families
vendor-product-families
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) | |
| SQL | in_db |
Pega Programming Languages & DSLs
pega-programming-languages-dsls
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) | |
| SQL | in_db |
Programming Languages & 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) |
Library artifacts (this run)
| Kind | Detail | DB id |
|---|---|---|
| canonical_skill_proposed | Microsoft 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 | |
| canonical_skill_proposed | ETL | type=Data Engineering Tools subtype=general nature=CONCEPT lifespan=MULTI_YEAR | |
| canonical_skill_proposed | Data Mart | type=Data Engineering Tools subtype=general nature=CONCEPT lifespan=MULTI_YEAR | |
| canonical_skill_proposed | Cube | type=Data Engineering Tools subtype=general nature=CONCEPT lifespan=MULTI_YEAR | |
| canonical_skill_proposed | Big Data | type=Data Engineering Tools subtype=general nature=CONCEPT lifespan=MULTI_YEAR |
nano JD Parser — gpt-4.1-nano click to toggle
Certifications
Show raw JSON
{
"JD_type": "pass",
"about_company": {
"source_marker": {
"first_5_words": "Koch Industries is a privately",
"last_5_words": "in the IT function."
},
"text": "Koch Industries is a privately held global organization with over 120,000 employees around the world, with subsidiaries involved in manufacturing, trading, and investments. Koch Technology Center (KTC) is being developed in India to extend its IT operations, as well as act as a hub for innovation in the IT function.",
"word_count": 52
},
"certifications": [
"Certified Amazon Web Services development"
],
"company_name": "Koch Industries",
"ctc": null,
"domain": {
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],
"domain": "Manufacturing"
},
"secondary": null
},
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"experience": {
"max": null,
"min": 3,
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},
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"Power BI Developer",
"BI Developer",
"Data Developer"
],
"role_archetype": "Data",
"roles_and_responsibilities": [
{
"bullet_count": 9,
"heading": "A Day In The Life Could Include",
"heading_was_present": true,
"source_marker": {
"first_5_words": "Working with Business Systems Analysts,",
"last_5_words": "for established reports."
},
"text": "Working with Business Systems Analysts, and directly with data consumers to develop data solutions for acquiring, managing, and publishing data.\nPartnering and collaborating with a diverse IT team including business analysts, architects, developers or vendors to create or optimize innovative technologies and solutions.\nExtracts data from different sources and transforms that data according to user requirements. And then loads data into various destinations.\nDesign and create processes for contextualizing, cleaning, aggregating, and transforming data, making it better and more useful to the business.\nUnderstanding data infrastructure/technology landscape.\nDecompose high level business needs into functional needs by understanding problem and determining data needs.\nManages the backend of the environment and supports stability of the environment.\nSupport of Data flow and connection points upstream and downstream.\nWork with customers to develop enhancements for established reports.",
"word_count": 139
},
{
"bullet_count": 10,
"heading": "What You Will Need To Bring With You:",
"heading_was_present": true,
"source_marker": {
"first_5_words": "3+ years of Data Integration",
"last_5_words": "and communication skills."
},
"text": "3+ years of Data Integration and Data Reporting experience.\nExperience developing with Microsoft SSIS, SSRS services and SQL server.\nUnderstanding of data Extraction, Transformation, and Load (ETL) process design and management.\nExperience developing in a data mart and cube environment.\nExperience developing solutions using AWS Cloud based data platforms.\nExperience with data extraction and analysis using complex SQL.\nExperience working with multiple disparate data sources.\nExperience working in large-scale enterprise level implementation of BI projects.\nStrong conceptual, analytical, and problem-solving abilities.\nStrong interpersonal and communication skills.",
"word_count": 116
},
{
"bullet_count": 2,
"heading": "What Will Put You Ahead",
"heading_was_present": true,
"source_marker": {
"first_5_words": "Certified Amazon Web Services development.",
"last_5_words": "for a manufacturing operations."
},
"text": "Certified Amazon Web Services development.\nExperience with big data in a manufacturing for a manufacturing operations.",
"word_count": 22
},
{
"bullet_count": 5,
"heading": "You Are",
"heading_was_present": true,
"source_marker": {
"first_5_words": "You are a practical problem",
"last_5_words": "for an opportunity to grow."
},
"text": "You are a practical problem solver.\nYou are humbly competent and open about your progress, and take responsibility for your mistakes - learning as we grow together.\nYou are comfortable respectfully challenging at all levels of the organization.\nYou are self-motivated and have a high attention to detail.\nYou are looking for an opportunity to grow.",
"word_count": 56
},
{
"bullet_count": 6,
"heading": "You Value",
"heading_was_present": true,
"source_marker": {
"first_5_words": "You have a passion for",
"last_5_words": "maximize value creation."
},
"text": "You have a passion for delivering high quality results you can be proud of.\nYou bring people together, ask questions, and listen for what\u2019s needed.\nYou care about people and honoring them for who they are. Relationships and mutual respect are important for you.\nYou value honesty, and are open to providing and receiving honest feedback.\nYou make yourself available to support others in achieving success, as well as the success of the greater good.\nYou strive to leverage other\u2019s skills to maximize value creation.",
"word_count": 81
}
],
"urls": []
}
API 1 — extract-from-jd click to toggle
{
"final_skills": [
{
"is_primary": true,
"skill_name": "Power BI"
},
{
"is_primary": true,
"skill_name": "Microsoft SSIS"
},
{
"is_primary": true,
"skill_name": "SSRS"
},
{
"is_primary": true,
"skill_name": "SQL Server"
},
{
"is_primary": true,
"skill_name": "ETL"
},
{
"is_primary": true,
"skill_name": "Data Mart"
},
{
"is_primary": true,
"skill_name": "Cube"
},
{
"is_primary": true,
"skill_name": "AWS"
},
{
"is_primary": true,
"skill_name": "SQL"
},
{
"is_primary": false,
"skill_name": "Big Data"
}
],
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"slug": ""
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},
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{
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"heading": "What You Will Need To Bring With You:",
"heading_was_present": true,
"source_marker": {
"first_5_words": "3+ years of Data Integration",
"last_5_words": "and communication skills."
},
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},
{
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"heading": "What Will Put You Ahead",
"heading_was_present": true,
"source_marker": {
"first_5_words": "Certified Amazon Web Services development.",
"last_5_words": "for a manufacturing operations."
},
"text": "Certified Amazon Web Services development.\nExperience with big data in a manufacturing for a manufacturing operations.",
"word_count": 22
},
{
"bullet_count": 5,
"heading": "You Are",
"heading_was_present": true,
"source_marker": {
"first_5_words": "You are a practical problem",
"last_5_words": "for an opportunity to grow."
},
"text": "You are a practical problem solver.\nYou are humbly competent and open about your progress, and take responsibility for your mistakes - learning as we grow together.\nYou are comfortable respectfully challenging at all levels of the organization.\nYou are self-motivated and have a high attention to detail.\nYou are looking for an opportunity to grow.",
"word_count": 56
},
{
"bullet_count": 6,
"heading": "You Value",
"heading_was_present": true,
"source_marker": {
"first_5_words": "You have a passion for",
"last_5_words": "maximize value creation."
},
"text": "You have a passion for delivering high quality results you can be proud of.\nYou bring people together, ask questions, and listen for what\u2019s needed.\nYou care about people and honoring them for who they are. Relationships and mutual respect are important for you.\nYou value honesty, and are open to providing and receiving honest feedback.\nYou make yourself available to support others in achieving success, as well as the success of the greater good.\nYou strive to leverage other\u2019s skills to maximize value creation.",
"word_count": 81
}
],
"urls": []
},
"rejected": false,
"rejection_reason": null,
"run_id": "ef206e3a-76b7-402b-8c5f-f3fbe82adab8",
"stage3_signals": {
"alias_found": true,
"alias_match_roles": [
{
"display_name": "BI Developer",
"kra_matches": null,
"matched_count": null,
"matched_skills": null,
"role_id": 147,
"score": 1.0,
"slug": "bi-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": "Working with Business Systems Analysts, and directly with data consumers to develop data solutions for acquiring, managing, and publishing data.",
"similarity": 0.6798
},
{
"kra_text": "Implements data transformation, cleansing, deduplication, and enrichment logic to convert raw source data into analytics-ready curated datasets.",
"sentence": "Extracts data from different sources and transforms that data according to user requirements.",
"similarity": 0.6752
},
{
"kra_text": "Works with data analysts, data scientists, and business stakeholders to define data models, ingestion schedules, and data delivery requirements.",
"sentence": "Design and create processes for contextualizing, cleaning, aggregating, and transforming data, making it better and more useful to the business.",
"similarity": 0.6348
}
],
"matched_count": null,
"matched_skills": null,
"role_id": 2,
"score": 0.6633,
"slug": "data-engineer",
"total_count": null
},
{
"display_name": "DevOps Engineer",
"kra_matches": [
{
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"similarity": 0.5886
},
{
"kra_text": "Collaborates with development teams to improve build processes, reduce deployment friction, containerize applications, and adopt DevOps best practices.",
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},
{
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}
],
"matched_count": null,
"matched_skills": null,
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},
{
"display_name": "Flutter Developer",
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{
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"similarity": 0.5266
},
{
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},
{
"kra_text": "integrate external APIs and data sources",
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}
],
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"score": 0.5077,
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},
{
"display_name": "Cloud Security Engineer",
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{
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},
{
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"similarity": 0.4974
},
{
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}
],
"matched_count": null,
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"role_id": 23,
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},
{
"display_name": "Java Backend Developer",
"kra_matches": [
{
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},
{
"kra_text": "service contract collaboration",
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"similarity": 0.4915
},
{
"kra_text": "persistence and data modeling",
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"similarity": 0.478
}
],
"matched_count": null,
"matched_skills": null,
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"score": 0.4879,
"slug": "java-backend-developer",
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}
],
"skill_match_roles": [
{
"display_name": "Data Engineer",
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"matched_skills": [
"AWS",
"Power BI",
"SQL"
],
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"score": 0.3333,
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},
{
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"AWS",
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],
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},
{
"display_name": "Node.js Backend Developer",
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"AWS",
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},
{
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"AWS",
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],
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},
{
"display_name": ".NET Backend Developer",
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"matched_count": 2,
"matched_skills": [
"AWS",
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],
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}
]
},
"stage4_decision": {
"alias_collision_detected": false,
"case": "DOMAIN",
"chosen_role": {
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"matched_count": null,
"matched_skills": null,
"role_id": 147,
"score": 0.96,
"slug": "bi-developer",
"total_count": null
},
"confidence": 0.96,
"is_new_role": false,
"llm2_fired": false,
"llm2_reasoning": null,
"matched_dimensions": [
"Business intelligence development",
"Report development and enhancement",
"ETL and data integration",
"Data transformation and loading",
"BI platform support and stability",
"Multi-source data solutions"
],
"matched_kras": [
"Develop data solutions for acquiring, managing, and publishing data",
"Extracts data from different sources and transforms that data",
"Loads data into various destinations",
"Design and create processes for cleaning, aggregating, and transforming data",
"Manages the backend of the environment and supports stability",
"Support of Data flow and connection points upstream and downstream",
"Work with customers to develop enhancements for established reports"
],
"matched_skills": [
"Power BI",
"Microsoft SSIS",
"SSRS",
"SQL Server",
"ETL",
"data mart",
"cube",
"AWS Cloud",
"complex SQL"
],
"new_role_display_name": null,
"new_role_slug": null,
"queued": false,
"reasoning": "Domain=Data Engineering \u0026 Analytics; The JD is centered on Power BI/SSRS reporting, BI solutions, and supporting established reports, which best matches a BI Developer role.",
"sub_role": null
},
"stage5_updates": {
"centroid_n_after": 7,
"centroid_updated": true,
"collision_log_id": null,
"new_kra_attached": {
"best_kra_similarity": 0.0,
"queue_id": 1215,
"r_and_r_preview": "Working with Business Systems Analysts, and directly with data consumers to develop data solutions for acquiring, managing, and publishing data.\nPartnering and collaborating with a diverse IT team inc",
"role_display_name": "BI Developer",
"role_slug": "bi-developer",
"status": "pending"
},
"new_skills_attached": [
{
"is_primary": true,
"queue_id": 16922,
"role_display_name": "BI Developer",
"role_slug": "bi-developer",
"skill_name": "Microsoft SSIS",
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},
{
"is_primary": true,
"queue_id": 16924,
"role_display_name": "BI Developer",
"role_slug": "bi-developer",
"skill_name": "SSRS",
"status": "pending"
},
{
"is_primary": true,
"queue_id": 16926,
"role_display_name": "BI Developer",
"role_slug": "bi-developer",
"skill_name": "ETL",
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},
{
"is_primary": true,
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"role_display_name": "BI Developer",
"role_slug": "bi-developer",
"skill_name": "Data Mart",
"status": "pending"
},
{
"is_primary": true,
"queue_id": 16930,
"role_display_name": "BI Developer",
"role_slug": "bi-developer",
"skill_name": "Cube",
"status": "pending"
},
{
"is_primary": false,
"queue_id": 16932,
"role_display_name": "BI Developer",
"role_slug": "bi-developer",
"skill_name": "Big Data",
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}
],
"queue_entry_id": null,
"v3_pipeline_triggered": false,
"v3_role_slug": null,
"v3_run_id": null
}
}
API 2 — extract-details
{
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"alias_persisted": false,
"existing_alias_id": 360,
"existing_alias_text": "Power BI",
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"matched_canonical": {
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"is_also_category": false,
"is_extractable": true,
"skill_nature": "PLATFORM",
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"sub_category_id": 111,
"typical_lifespan": "EVERGREEN",
"volatility": "STABLE"
},
"matched_via": "alias"
},
{
"alias_persist_skipped_reason": "alias_text already exists for this canonical skill",
"alias_persisted": false,
"existing_alias_id": 135,
"existing_alias_text": "SQL Server",
"input_term": "SQL Server",
"matched_canonical": {
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"is_also_category": false,
"is_extractable": true,
"skill_nature": "TOOL",
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"sub_category_id": 29,
"typical_lifespan": "EVERGREEN",
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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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"input_term": "AWS",
"matched_canonical": {
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"is_also_category": false,
"is_extractable": true,
"skill_nature": "PLATFORM",
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"typical_lifespan": "EVERGREEN",
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},
"matched_via": "alias"
},
{
"alias_persist_skipped_reason": "alias_text already exists for this canonical skill",
"alias_persisted": false,
"existing_alias_id": 271,
"existing_alias_text": "SQL",
"input_term": "SQL",
"matched_canonical": {
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"is_also_category": false,
"is_extractable": true,
"skill_nature": "LANGUAGE",
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"typical_lifespan": "EVERGREEN",
"volatility": "STABLE"
},
"matched_via": "alias"
}
],
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},
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},
{
"display_name": "Pega Developer",
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}
],
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},
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{
"dimension": {
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},
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]
},
{
"dimension": {
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]
},
{
"dimension": {
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}
]
},
{
"dimension": {
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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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]
},
{
"dimension": {
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},
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]
},
{
"dimension": {
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"rationale": "Programming languages and domain-specific languages used in Pega development.",
"slug": "pega-programming-languages-dsls",
"source": "db"
},
"input_skill": "SQL",
"llm_role": null,
"roles_from_db": [
{
"display_name": "Pega Developer",
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}
]
},
{
"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"
},
"input_skill": "SQL",
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{
"display_name": "Engineering Manager",
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}
]
},
{
"dimension": {
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"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"
},
"input_skill": "SQL",
"llm_role": null,
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{
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}
]
}
],
"input_final_skills": [
"Power BI",
"Microsoft SSIS",
"SSRS",
"SQL Server",
"ETL",
"Data Mart",
"Cube",
"AWS",
"SQL",
"Big Data"
],
"input_llm_skills": [
"Power BI",
"Microsoft SSIS",
"SSRS",
"SQL Server",
"ETL",
"Data Mart",
"Cube",
"AWS",
"SQL",
"Big Data"
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"new_aliases_persisted": 0,
"run_id": "ef206e3a-76b7-402b-8c5f-f3fbe82adab8",
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}
],
"canonical": {
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"typical_lifespan": "EVERGREEN",
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},
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{
"dimension": {
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},
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{
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]
}
],
"input_skill": "Power BI",
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},
{
"aliases_in_db": [],
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"dimensions": [],
"input_skill": "Microsoft SSIS",
"matched_via": null,
"new_alias_persisted": false,
"new_alias_text": null,
"new_skill_meta": {
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},
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},
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"was_in_llm_skills": true
},
{
"aliases_in_db": [],
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"dimensions": [],
"input_skill": "SSRS",
"matched_via": null,
"new_alias_persisted": false,
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"new_skill_meta": {
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},
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"skill_id": "ssrs",
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},
"source_tag": "llm",
"was_in_llm_skills": true
},
{
"aliases_in_db": [
{
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"alias_type": "CANONICAL",
"id": 135,
"is_primary": true,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "SQL Server 2000",
"alias_type": "VERSION",
"id": 138,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "SQL Server 2005",
"alias_type": "VERSION",
"id": 139,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "SQL Server 2008",
"alias_type": "VERSION",
"id": 140,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "SQL Server 2012",
"alias_type": "VERSION",
"id": 141,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "SQL Server 2014",
"alias_type": "VERSION",
"id": 142,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "SQL Server 2016",
"alias_type": "VERSION",
"id": 143,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "SQL Server 2017",
"alias_type": "VERSION",
"id": 144,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "SQL Server 2019",
"alias_type": "VERSION",
"id": 145,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "SQL Server 2022",
"alias_type": "VERSION",
"id": 146,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "SQL Server 6.5",
"alias_type": "VERSION",
"id": 136,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "SQL Server 7.0",
"alias_type": "VERSION",
"id": 137,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
}
],
"canonical": {
"category_id": 3,
"display_name": "SQL Server",
"id": 18,
"is_also_category": false,
"is_extractable": true,
"skill_nature": "TOOL",
"slug": "sql-server",
"sub_category_id": 29,
"typical_lifespan": "EVERGREEN",
"volatility": "STABLE"
},
"dimensions": [
{
"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"
},
"input_skill": "SQL Server",
"llm_role": null,
"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"
}
]
}
],
"input_skill": "SQL Server",
"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": "ETL",
"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": [],
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"merge_log": [],
"placed": null,
"relationships": null,
"skill_id": "etl",
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"typed": null,
"warnings": []
},
"source_tag": "llm",
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},
{
"aliases_in_db": [],
"canonical": null,
"dimensions": [],
"input_skill": "Data Mart",
"matched_via": null,
"new_alias_persisted": false,
"new_alias_text": null,
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"derived": {
"category": "Data Engineering Tools",
"skill_nature": "CONCEPT",
"sub_category": "general",
"typical_lifespan": "MULTI_YEAR",
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"volatility": "MEDIUM"
},
"enrichment": null,
"keep_log": [],
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"merge_log": [],
"placed": null,
"relationships": null,
"skill_id": "data-mart",
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"typed": null,
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},
"source_tag": "llm",
"was_in_llm_skills": true
},
{
"aliases_in_db": [],
"canonical": null,
"dimensions": [],
"input_skill": "Cube",
"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",
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"volatility": "MEDIUM"
},
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"keep_log": [],
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"merge_log": [],
"placed": null,
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"skill_id": "cube",
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"warnings": []
},
"source_tag": "llm",
"was_in_llm_skills": true
},
{
"aliases_in_db": [
{
"alias_text": "AWS",
"alias_type": "CANONICAL",
"id": 406,
"is_primary": true,
"match_strategy": "CASE_INSENSITIVE"
}
],
"canonical": {
"category_id": 9,
"display_name": "AWS",
"id": 187,
"is_also_category": false,
"is_extractable": true,
"skill_nature": "PLATFORM",
"slug": "aws",
"sub_category_id": 46,
"typical_lifespan": "EVERGREEN",
"volatility": "STABLE"
},
"dimensions": [
{
"dimension": {
"difficulty_hint": "well_known",
"display_name": "Cloud Platforms",
"id": 20,
"rationale": "Underlying cloud providers that host the managed services or infrastructure used by the role, such as AWS, Azure, and GCP.",
"slug": "cloud-platforms",
"source": "db"
},
"input_skill": "AWS",
"llm_role": null,
"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": "Cyber Security Engineer",
"id": 5,
"rationale": null,
"role_archetype": null,
"slug": "cybersecurity-engineer",
"source": "db"
},
{
"display_name": "Data Engineer",
"id": 2,
"rationale": null,
"role_archetype": null,
"slug": "data-engineer",
"source": "db"
},
{
"display_name": "DevOps Engineer",
"id": 10,
"rationale": null,
"role_archetype": null,
"slug": "devops-engineer",
"source": "db"
},
{
"display_name": "Fullstack Developer",
"id": 15,
"rationale": null,
"role_archetype": null,
"slug": "full-stack-engineer",
"source": "db"
},
{
"display_name": "Go Backend Developer",
"id": 81,
"rationale": null,
"role_archetype": "Engineering",
"slug": "go-backend-developer",
"source": "db"
},
{
"display_name": "Java Backend Developer",
"id": 79,
"rationale": null,
"role_archetype": "Engineering",
"slug": "java-backend-developer",
"source": "db"
},
{
"display_name": "Kotlin Backend Developer",
"id": 84,
"rationale": null,
"role_archetype": "Engineering",
"slug": "kotlin-server-backend-developer",
"source": "db"
},
{
"display_name": "ML Engineer",
"id": 3,
"rationale": null,
"role_archetype": null,
"slug": "ml-engineer",
"source": "db"
},
{
"display_name": "MLOps Engineer",
"id": 16,
"rationale": null,
"role_archetype": null,
"slug": "ml-ops-engineer",
"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": "Scala Backend Developer",
"id": 87,
"rationale": null,
"role_archetype": "Engineering",
"slug": "scala-backend-developer",
"source": "db"
}
]
},
{
"dimension": {
"difficulty_hint": "well_known",
"display_name": "Cloud Platforms for AI Deployment",
"id": 211,
"rationale": "Major cloud services that provide infrastructure and managed services for AI workloads.",
"slug": "cloud-platforms-for-ai-deployment",
"source": "db"
},
"input_skill": "AWS",
"llm_role": null,
"roles_from_db": [
{
"display_name": "AI Engineer",
"id": 13,
"rationale": null,
"role_archetype": null,
"slug": "ai-engineer",
"source": "db"
}
]
},
{
"dimension": {
"difficulty_hint": "well_known",
"display_name": "Cloud Provider Platforms",
"id": 131,
"rationale": "Major cloud platforms and their core service ecosystems used to design target-state architectures, choose deployment boundaries, and evaluate managed capabilities. This is the primary substrate for cloud architecture decisions.",
"slug": "cloud-provider-platforms",
"source": "db"
},
"input_skill": "AWS",
"llm_role": null,
"roles_from_db": [
{
"display_name": "Cloud Architect",
"id": 9,
"rationale": null,
"role_archetype": null,
"slug": "cloud-architect",
"source": "db"
},
{
"display_name": "Cloud Security Engineer",
"id": 23,
"rationale": null,
"role_archetype": null,
"slug": "cloud-security-engineer",
"source": "db"
}
]
},
{
"dimension": {
"difficulty_hint": "well_known",
"display_name": "Cloud Security Posture Tools",
"id": 64,
"rationale": "Cloud-native security platforms used to assess misconfiguration, workload exposure, and cloud control coverage. This dimension includes the major CNAPP/CSPM/CWPP vendors and cloud security services the role reviews and tunes.",
"slug": "cloud-security-posture-tools",
"source": "db"
},
"input_skill": "AWS",
"llm_role": null,
"roles_from_db": [
{
"display_name": "Cloud Security Engineer",
"id": 23,
"rationale": null,
"role_archetype": null,
"slug": "cloud-security-engineer",
"source": "db"
},
{
"display_name": "Cyber Security Engineer",
"id": 5,
"rationale": null,
"role_archetype": null,
"slug": "cybersecurity-engineer",
"source": "db"
}
]
},
{
"dimension": {
"difficulty_hint": "well_known",
"display_name": "Vendor Product Families",
"id": 477,
"rationale": "Coordinate usage, licensing, and architecture decisions for major vendor software and cloud product families.",
"slug": "vendor-product-families",
"source": "db"
},
"input_skill": "AWS",
"llm_role": null,
"roles_from_db": [
{
"display_name": "Engineering Manager",
"id": 121,
"rationale": null,
"role_archetype": null,
"slug": "engineering-manager",
"source": "db"
}
]
}
],
"input_skill": "AWS",
"matched_via": "alias",
"new_alias_persisted": false,
"new_alias_text": null,
"new_skill_meta": null,
"source_tag": "db",
"was_in_llm_skills": true
},
{
"aliases_in_db": [
{
"alias_text": "SQL",
"alias_type": "CANONICAL",
"id": 271,
"is_primary": true,
"match_strategy": "CASE_INSENSITIVE"
}
],
"canonical": {
"category_id": 6,
"display_name": "SQL",
"id": 101,
"is_also_category": false,
"is_extractable": true,
"skill_nature": "LANGUAGE",
"slug": "sql",
"sub_category_id": 97,
"typical_lifespan": "EVERGREEN",
"volatility": "STABLE"
},
"dimensions": [
{
"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"
},
"input_skill": "SQL",
"llm_role": null,
"roles_from_db": [
{
"display_name": "Pega Developer",
"id": 24,
"rationale": null,
"role_archetype": null,
"slug": "pega-developer",
"source": "db"
}
]
},
{
"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"
},
"input_skill": "SQL",
"llm_role": null,
"roles_from_db": [
{
"display_name": "Engineering Manager",
"id": 121,
"rationale": null,
"role_archetype": null,
"slug": "engineering-manager",
"source": "db"
}
]
},
{
"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"
},
"input_skill": "SQL",
"llm_role": null,
"roles_from_db": [
{
"display_name": "Data Engineer",
"id": 2,
"rationale": null,
"role_archetype": null,
"slug": "data-engineer",
"source": "db"
}
]
}
],
"input_skill": "SQL",
"matched_via": "alias",
"new_alias_persisted": false,
"new_alias_text": null,
"new_skill_meta": null,
"source_tag": "db",
"was_in_llm_skills": true
},
{
"aliases_in_db": [],
"canonical": null,
"dimensions": [],
"input_skill": "Big Data",
"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": "big-data",
"split_log": [],
"typed": null,
"warnings": []
},
"source_tag": "llm",
"was_in_llm_skills": true
}
],
"unmatched_skills": [
"Microsoft SSIS",
"SSRS",
"ETL",
"Data Mart",
"Cube",
"Big Data"
]
}
API 3 — final-role-output
{
"chosen_role": {
"display_name": "BI Developer",
"id": 147,
"rationale": "Domain=Data Engineering \u0026 Analytics; The JD is centered on Power BI/SSRS reporting, BI solutions, and supporting established reports, which best matches a BI Developer role.",
"role_archetype": null,
"slug": "bi-developer",
"source": "db"
},
"chosen_role_resolution": "in_db",
"final_input_skills": [
{
"skill": "Power BI",
"tag": "in_db"
},
{
"skill": "Microsoft SSIS",
"tag": "new"
},
{
"skill": "SSRS",
"tag": "new"
},
{
"skill": "SQL Server",
"tag": "in_db"
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{
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{
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{
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{
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{
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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.