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Pipeline run

403fa6f5-ea4d-4f15-acec-c5c8376b17d7

Pipeline LLM cost (USD)
API 1: $0.0086 API 2: $0.0002 API 3: $0.0000 Total: $0.0088

Client output enrichment

v2 Skill cluster · Nature of work · AI index · Tech stack maturity · Evidence · KRA description
Nature of work · Data Engineering
Build and maintain Power BI data products end to end: transform data in SQL/DAX/Power Query, keep Lakehouse/Warehouse datasets and data quality current, create/refine reports and dataflows, and document/support them for stakeholders and internal users.
""Data manipulations and transformations either applied in SQL or in Power BI (DAX/Power Query)""
Tech stack maturity
Mainstream Modern
A BI Developer working with lakehouse, Power BI, and SQL typically operates in a modern analytics stack that is widely adopted but not necessarily bleeding-edge.
AI index (0 = no AI use, 5 = totally AI-dependent · v2.1)
0.20 / 5
· Title match
Has AI skill
· AI skill (primary)
· AI skill (secondary)
· On AI team
· Builds AI products
vocab breakdown (legacy)
Assistants (×1):
Frameworks (×2):
Models / concepts (×3): AI, Machine Learning
Evidence — skills matched in JD (7)
Power BI SQL DAX Power Query Lakehouse Warehouse Dataflows
Skill cluster (1 dimension groups, role-scoped)
Cross-cutting / unaligned
Power BI SQL DAX Power Query Lakehouse Warehouse Dataflows
Show KRA description ↓
In the day-to-day operations, you will be working with DTS BI Scrum team with the goal to develop cutting edge Data Products for consumption of DTS data by our internal customers which include users from across DTS and the S&P Global Enterprise at all levels from senior leadership to individual users. You will also drive Strategic Initiatives that enable us to deliver better products, faster and with world class support. With your acute investigation, troubleshooting and communication skills, you will be championing support best practices and improving our user’s experience. Some of your areas of ownership will include: Data Engineering • Data manipulations and transformations either applied in SQL or in Power BI (DAX/Power Query) • Maintain and update datasets in our Lakehouse/Warehouse • Maintain data quality in reporting and crafted data. • Document data manipulations and transformations for use in data dictionary Reporting And Report Maintenance • Work with the data produced at the data engineering layer and build useful visualization in Power BI • Work with and create Power BI dataflows. • Set up the report to refresh on an ongoing basis. • Work with stakeholders to refine reports. • Document the report and its inner workings so the team can assist in maintenance and improvements. Collaboration, Communication And Creative • Work closely with the team, product owner, and other stakeholders to understand data requirements and translate them into technical solutions. • Collaborate with cross-functional teams to design and implement data-driven solutions. • Strong interpersonal skills with the ability to communicate expert information to non-experts • Creativity in coming up with solutions around data and end user experience. Innovation And Continuous Improvement • Stay updated with the latest trends and technologies in data tools and engineering. • Participate in the development of best practices and guidelines for data management and engineering.

Signals

Skill data-engineer
0.29
Alias data-engineer
1.00
KRA data-engineer
0.60

Post-classification

Centroidupdated · n=2
Alias collision log
New-role queue
New skills captured4
New KRA capturedyes

Captured for admin review

DAX primary BI Developer pending
Power Query primary BI Developer pending
Warehouse primary BI Developer pending
Dataflows primary BI Developer pending
R&R fragment (sim 0.00) BI Developer pending

In the day-to-day operations, you will be working with DTS BI Scrum team with the goal to develop cutting edge Data Products for consumption of DTS data by our internal customers which include users f…

Status: completed Created: 2026-05-27T13:44:40.596965Z Updated: 2026-05-27T13:46:11.732886Z API 3 duration: 7531 ms
Flow Current 3-step pipeline

1 POST /skills/extract-from-jd

2 POST /skills/extract-details

3 POST /skills/final-role-output

Role Chosen role & resolution

BI Developer

domain · Data Engineering & Analytics CASE DOMAIN

slug: bi-developer · id: 147 · source: db

Domain=Data Engineering & Analytics; The JD is centered on building and maintaining Power BI reports, dataflows, and dashboards with some supporting data manipulation and refresh operations, which most closely matches a BI Developer role.

Matched skills

Power BIDAXPower QuerySQLLakehouseWarehousePower BI dataflows

Matched dimensions

Power BI report developmentBI data transformation and preparationReport maintenance and refresh managementStakeholder-driven reportingData quality in reportingCross-functional collaborationDocumentation and support enablementContinuous improvement in BI practices

Matched KRAs

develop cutting edge Data ProductsData manipulations and transformationsMaintain and update datasets in our Lakehouse/WarehouseMaintain data quality in reporting and crafted dataBuild useful visualization in Power BIWork with and create Power BI dataflowsSet up the report to refresh on an ongoing basisWork with stakeholders to refine reportsDocument the report and its inner workingsTranslate data requirements into technical solutions

Resolution: in_db — role exists in library; skill↔dim and role↔dim links saved when applicable.

0
New skills
0
Skill↔dim saved
0
Role↔dim saved
0
Skipped

Job description

About The Role

Grade Level (for internal use):

09

The Team

The Digital Technology Services Business Intelligence team is responsible for providing DTS and the wider organization with data and insights through reporting on and around IT, Financials, and other corporate datasets.

The Impact

What’s in it for you:

In your role, you will have the opportunity to work with exciting data with each set presenting new and interesting challenges. You will have an opportunity to learn from other team members who have a lot of experience in the space of data engineering and reporting. This role presents the opportunity to work on different parts of our process extraction scripts, data wrangling and engineering, and reporting.

Responsibilities

In the day-to-day operations, you will be working with DTS BI Scrum team with the goal to develop cutting edge Data Products for consumption of DTS data by our internal customers which include users from across DTS and the S&P Global Enterprise at all levels from senior leadership to individual users. You will also drive Strategic Initiatives that enable us to deliver better products, faster and with world class support. With your acute investigation, troubleshooting and communication skills, you will be championing support best practices and improving our user’s experience. Some of your areas of ownership will include:

Data Engineering

• Data manipulations and transformations either applied in SQL or in Power BI (DAX/Power Query)
• Maintain and update datasets in our Lakehouse/Warehouse
• Maintain data quality in reporting and crafted data.
• Document data manipulations and transformations for use in data dictionary


Reporting And Report Maintenance

• Work with the data produced at the data engineering layer and build useful visualization in Power BI
• Work with and create Power BI dataflows.
• Set up the report to refresh on an ongoing basis.
• Work with stakeholders to refine reports.
• Document the report and its inner workings so the team can assist in maintenance and improvements.


Collaboration, Communication And Creative

• Work closely with the team, product owner, and other stakeholders to understand data requirements and translate them into technical solutions.
• Collaborate with cross-functional teams to design and implement data-driven solutions.
• Strong interpersonal skills with the ability to communicate expert information to non-experts
• Creativity in coming up with solutions around data and end user experience.


Innovation And Continuous Improvement

• Stay updated with the latest trends and technologies in data tools and engineering.
• Participate in the development of best practices and guidelines for data management and engineering.


Basic Qualifications

What We’re Looking For:

• 3+ years professional experience as a Power BI report developer, analyst or data engineer or similar role
• B.S. / M.S. in Computer Sciences or related field .
• Strong analytical capabilities being able to read and understand data and visualization to draw insights.
• Proficiency in Power BI.
• Proficiency in DAX and Power Query.
• Knowledge of and around SQL.
• Programing skills in coding languages specifically for data such as Python.
• Familiarity with cloud data platforms (e.g., AWS, Azure, Google Cloud).
• Knowledge of data lake warehousing concepts and tools (e.g. Snowflake, Databricks, Dremio, MS Fabric).
• Open to working flexible hours as per business needs.


Preferred Qualifications

• Some type of certifications in data architecture, engineering, or analytics (e.g., AWS Certified Big Data, Google Cloud Professional Data Engineer, Microsoft Data Engineer).
• Proficiency in Python.
• Proficiency in SQL.
• Understanding of End-to-End Data to Insight lifecycle.
• Experience with data governance and data security practices.
• Familiarity with machine learning and AI concepts.
• Experience with cloud computing platforms, including Amazon Web Services and Microsoft Azure.
• Experience in Tableau.


What’s In It For You?

Our Purpose

Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world.

Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress.

Our People

We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.

From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference.

Our Values

Integrity, Discovery, Partnership

At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals.

Benefits

We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global.

Our Benefits Include

• Health & Wellness: Health care coverage designed for the mind and body.
• Flexible Downtime: Generous time off helps keep you energized for your time on.
• Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
• Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
• Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.
• Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference.


For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries

Diversity, Equity, And Inclusion At S&P Global

At S&P Global, we believe diversity fuels creative insights, equity unlocks opportunity, and inclusion drives growth and innovation – Powering Global Markets. Our commitment centers on our global workforce, ensuring that our people are empowered to bring their whole selves to work. It doesn’t stop there, we strive to better reflect and serve the communities in which we live and work, and advocate for greater opportunity for all.

Equal Opportunity Employer

S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.

If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person.

US Candidates Only:  The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law.

IFTECH202.1 - Middle Professional Tier I (EEO Job Group)

Job ID: 302433

Posted On: 2024-07-16

Location: Gurgaon, Haryana, India

Skills from this JD

Each row merges API 1 extraction, API 2 library match / v3 orchestration (dimensions + locked dims), and API 3 persistence tags.

Power BI Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Power BI id=151 · power-bi

Aliases — catalog

  • Power BI (CANONICAL) primary

Context tags (catalog)

Azure Synapse DAX DirectQuery Import mode M language Power Query RLS SQL Server SSAS dashboard data modeling data warehouse gateway reporting star schema

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)
SQL Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: SQL id=101 · sql

Aliases — catalog

  • SQL (CANONICAL) primary

Context tags (catalog)

ACID CTE DDL DML ETL JOIN MySQL NoSQL OLAP ORM PostgreSQL SQL injection SQLite T-SQL data modeling data warehousing database normalization execution plan indexing joins normalization query optimization stored procedures subquery transaction isolation transaction management window functions

Stored enrichment (catalog DB)

Category
Language
Sub-category
Query Language
Vendor
ANSI
License
unknown
Year introduced
1974
Confidence
0.99
Version strategy
NOT_APPLICABLE

Maturity reasoning: SQL appears in a large share of data, backend, and analytics job descriptions and remains the default query language for PostgreSQL, MySQL, and cloud warehouses like Snowflake/BigQuery.

Skill profile (library / DB)

Skill nature
LANGUAGE
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
6
Sub-category id
97
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Pega Programming Languages & DSLs Catalog dimension db id 267

    Library dimension (catalog)

    Roles linked in library: Pega Developer

  • Programming Languages for Data Work Catalog dimension db id 21

    Library dimension (catalog)

    Roles linked in library: Data Engineer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Pega Programming Languages & DSLs
pega-programming-languages-dsls
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Programming Languages for Data Work
programming-languages-for-data-work
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
DAX Primary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
Programming Languages
Sub-category
general
Skill nature
LANGUAGE
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Power Query Primary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
Data Engineering Tools
Sub-category
general
Skill nature
TOOL
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Lakehouse Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Lakehouse id=1359 · lakehouse

Aliases — catalog

  • Lakehouse (CANONICAL)

Context tags (catalog)

Apache Spark Delta Lake ETL SQL analytics cloud storage data governance data integration data lake data modeling data pipeline data warehouse metadata management real-time processing streaming analytics

Stored enrichment (catalog DB)

Category
Architecture
Sub-category
Data Platform Architecture
Confidence
0.90
Version strategy
NOT_APPLICABLE

Maturity reasoning: Lakehouse is increasingly listed in data-platform JDs and vendor docs (Databricks, Snowflake, Microsoft Fabric), but it is not yet as universal as core warehouse or lake skills.

Skill profile (library / DB)

Skill nature
PATTERN
Volatility
EMERGING
Typical lifespan
EVERGREEN
Category id
1
Sub-category id
1026
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)
Warehouse Primary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
Data Engineering Tools
Sub-category
general
Skill nature
CONCEPT
Volatility
STABLE
Typical lifespan
EVERGREEN
Version strategy
UNVERSIONED
Dataflows Primary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
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 in_db
Pega Programming Languages & DSLs
pega-programming-languages-dsls
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
SQL in_db
Programming Languages for Data Work
programming-languages-for-data-work
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Lakehouse in_db
React Frontend Development
d_init_01
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)

Library artifacts (this run)

Kind Detail DB id
canonical_skill_proposed DAX | type=Programming Languages subtype=general nature=LANGUAGE lifespan=MULTI_YEAR
canonical_skill_proposed Power Query | type=Data Engineering Tools subtype=general nature=TOOL lifespan=MULTI_YEAR
canonical_skill_proposed Warehouse | type=Data Engineering Tools subtype=general nature=CONCEPT lifespan=EVERGREEN
canonical_skill_proposed Dataflows | type=Data Engineering Tools subtype=general nature=CONCEPT lifespan=MULTI_YEAR
nano JD Parser — gpt-4.1-nano click to toggle
RolePower BI Report Developer
CompanyS&P Global
Experience3+ years professional experience as a Power BI report developer, analyst or data engineer or similar role
DomainIT Services & Consulting
Location Gurgaon, India (null)
JD type pass

Certifications

AWS Certified Big Data Google Cloud Professional Data Engineer Microsoft Data Engineer
Show raw JSON
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  ]
}
API 1 — extract-from-jd click to toggle
{
  "final_skills": [
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    {
      "is_primary": true,
      "skill_name": "Warehouse"
    },
    {
      "is_primary": true,
      "skill_name": "Dataflows"
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API 2 — extract-details
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          "llm_role": null,
          "roles_from_db": []
        }
      ],
      "input_skill": "Lakehouse",
      "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": "Warehouse",
      "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": "EVERGREEN",
          "version_strategy": "UNVERSIONED",
          "volatility": "STABLE"
        },
        "enrichment": null,
        "keep_log": [],
        "locked_dimensions": [],
        "merge_log": [],
        "placed": null,
        "relationships": null,
        "skill_id": "warehouse",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "Dataflows",
      "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": "dataflows",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    }
  ],
  "unmatched_skills": [
    "DAX",
    "Power Query",
    "Warehouse",
    "Dataflows"
  ]
}
API 3 — final-role-output
{
  "chosen_role": {
    "display_name": "BI Developer",
    "id": 147,
    "rationale": "Domain=Data Engineering \u0026 Analytics; The JD is centered on building and maintaining Power BI reports, dataflows, and dashboards with some supporting data manipulation and refresh operations, which most closely 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": "SQL",
      "tag": "in_db"
    },
    {
      "skill": "DAX",
      "tag": "new"
    },
    {
      "skill": "Power Query",
      "tag": "new"
    },
    {
      "skill": "Lakehouse",
      "tag": "in_db"
    },
    {
      "skill": "Warehouse",
      "tag": "new"
    },
    {
      "skill": "Dataflows",
      "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": 147,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "BI and Visualization Tools",
          "id": 31,
          "rationale": "Tools used to expose curated data to analysts and business users through dashboards, reports, and semantic exploration. Data engineers support these tools by shaping reliable datasets and performant models.",
          "slug": "bi-and-visualization-tools",
          "source": "db"
        },
        "dimension_id": 31,
        "input_skill": "Power BI",
        "llm_role": null,
        "matched_chosen_role": false,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
        "role_dimension_saved": false,
        "roles_from_db": [
          {
            "display_name": "Data Engineer",
            "id": 2,
            "rationale": null,
            "role_archetype": null,
            "slug": "data-engineer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 151,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 147,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Pega Programming Languages \u0026 DSLs",
          "id": 267,
          "rationale": "Programming languages and domain-specific languages used in Pega development.",
          "slug": "pega-programming-languages-dsls",
          "source": "db"
        },
        "dimension_id": 267,
        "input_skill": "SQL",
        "llm_role": null,
        "matched_chosen_role": false,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
        "role_dimension_saved": false,
        "roles_from_db": [
          {
            "display_name": "Pega Developer",
            "id": 24,
            "rationale": null,
            "role_archetype": null,
            "slug": "pega-developer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 101,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 147,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Programming Languages for Data Work",
          "id": 21,
          "rationale": "Languages used to implement data pipelines, transformations, and operational glue. This is the primary coding surface for building ingestion, enrichment, and automation logic in data engineering.",
          "slug": "programming-languages-for-data-work",
          "source": "db"
        },
        "dimension_id": 21,
        "input_skill": "SQL",
        "llm_role": null,
        "matched_chosen_role": false,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
        "role_dimension_saved": false,
        "roles_from_db": [
          {
            "display_name": "Data Engineer",
            "id": 2,
            "rationale": null,
            "role_archetype": null,
            "slug": "data-engineer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 101,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 147,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "React Frontend Development",
          "id": 96,
          "rationale": "Building interactive web user interfaces with React.js, including component composition, state management, hooks, and rendering patterns. React.js belongs here because it is a core library for client-side UI development in modern web applications.",
          "slug": "d_init_01",
          "source": "db"
        },
        "dimension_id": 96,
        "input_skill": "Lakehouse",
        "llm_role": null,
        "matched_chosen_role": false,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
        "role_dimension_saved": false,
        "roles_from_db": [],
        "skill_dimension_saved": true,
        "skill_id": 1359,
        "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": "403fa6f5-ea4d-4f15-acec-c5c8376b17d7"
}

LLM Calls

Every model call made for this run, in pipeline order. Click a card to see the model's response.

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