Pipeline run
86ce26d3-87de-4298-822c-fc8a1b9cf5f8
Client output enrichment
v2 Skill cluster · Nature of work · AI index · Tech stack maturity · Evidence · KRA descriptionvocab breakdown (legacy)
Signals
Post-classification
1 POST /skills/extract-from-jd
2 POST /skills/extract-details
3 POST /skills/final-role-output
Data Engineer
CASE Aslug: data-engineer · id: 2 · source: db
Exact alias hit on data-engineer (1.0) — no other alias at this confidence; skill_top data-engineer 1.00 does not contradict
Resolution:
in_db
— role exists in library; skill↔dim and role↔dim links saved when applicable.
Job description
Welcome to EPAM Anywhere - a global job platform offering remote work opportunities for tech professionals. Join us to build a career around your lifestyle working on modern projects for global brands and exciting startups. We are currently looking for aremote Middle Big Data Software Engineer with 2+ years of experience in software development with Big Data technologies, Scala knowledge and SQL skills to join our team. The customer is a provider of high-quality business services in such areas as IT, Procurement, HR, Product Lifecycle Services, Financial Reporting and Analytics, and Real Estate and Facility Services. The scope of the project is to integrate CRM data to a big data platform and render it in Tableau dashboards. Responsibilities Develop Spark application for ingestion and transformationContribute to making data platform more scalable, resilient and reliable Requirements 2+ years of experience in software development with Big Data technologiesScala knowledgeSQL skillsPython and Java knowledgeEnglish level proficiency B1 We offer Insurance Coverage Paid Leaves – including maternity, bereavement, paternity, and special COVID-19 leaves. Financial assistance for medical crisis Retiral Benefits – VPF and NPS Customized Mindfulness and Wellness programs EPAM Hobby ClubsHybrid Work Model Soft loans to set up workspace at home Stable workload Relocation opportunities with ‘EPAM without Borders’ programCertification trainings for technical and soft skills Access to unlimited LinkedIn Learning platform Access to internal learning programs set up by world class trainers Community networking and idea creation platforms Mentorship programs Self-driven career progression tool This is a remote position and we welcome applications from anywhere in India Once you apply, you'll receive a confirmation email with a link to EPAM Anywhere platform. Sign up with this link to automate your prescreening, be able to monitor your application statuses, and enjoy a faster job application process. We accept CVs only in English. Please note that even though you are applying for this position, you may be offered other projects to join within EPAM Anywhere. EPAM Anywhere is a part of EPAM Systems, Inc. (NYSE: EPAM). Since 1993, EPAM has leveraged its advanced software engineering heritage to become the foremost global digital transformation services provider.
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
- Apache Spark (CANONICAL)
- apache spark 3 (VERSION)
- spark (VERSION)
- spark 3 (VERSION)
- spark 3.x (VERSION)
- spark3 (VERSION)
Context tags (catalog)
Stored enrichment (catalog DB)
- Category
- Framework
- Sub-category
- Distributed Data Processing Framework
- Vendor
- Apache Software Foundation
- License
- apache_2
- Year introduced
- 2010
- Confidence
- 0.94
- Version strategy
- SEPARATE_ENTITY
- Version tag
- 3.x
Maturity reasoning: Apache Spark appears in many data engineering JDs and remains a standard for distributed ETL/ELT; its GitHub and vendor ecosystem activity stay strong, with Databricks and cloud platforms still promoting it.
Skill profile (library / DB)
- Skill nature
- FRAMEWORK
- Volatility
- STABLE
- Typical lifespan
- EVERGREEN
- Category id
- 5
- Sub-category id
- 1021
- Extractable
- True
- Also category
- False
Dimensions (API 2 worklist)
-
ETL and ELT Tooling Catalog dimension db id 24
Library dimension (catalog)
Roles linked in library: Data Engineer
API 3 link attempts (this skill)
| Dimension | Skill↔dim | Role↔dim | Outcome |
|---|---|---|---|
|
ETL and ELT Tooling
etl-and-elt-tooling
|
✓ | ✓ | Existing dimension (library) · Role↔dimension saved |
Aliases — catalog
- Scala (CANONICAL) primary
Context tags (catalog)
Stored enrichment (catalog DB)
- Category
- Language
- Sub-category
- Programming Language
- Vendor
- EPFL
- License
- apache_2
- Year introduced
- 2004
- Confidence
- 0.99
- Version strategy
- NOT_APPLICABLE
Maturity reasoning: Scala still appears in many backend/data engineering JDs, especially with Spark and Akka, and remains supported by major JVM ecosystems; it’s not a sunset technology.
Skill profile (library / DB)
- Skill nature
- LANGUAGE
- Volatility
- STABLE
- Typical lifespan
- EVERGREEN
- Category id
- 6
- Sub-category id
- 96
- Extractable
- True
- Also category
- False
Dimensions (API 2 worklist)
-
Programming Languages for Data Work Catalog dimension db id 21
Library dimension (catalog)
Roles linked in library: Data Engineer
-
Programming Languages for ML Systems Catalog dimension db id 39
Library dimension (catalog)
Roles linked in library: ML Engineer, MLOps Engineer
API 3 link attempts (this skill)
| Dimension | Skill↔dim | Role↔dim | Outcome |
|---|---|---|---|
|
Programming Languages for Data Work
programming-languages-for-data-work
|
✓ | ✓ | Existing dimension (library) · Role↔dimension saved |
|
Programming Languages for ML Systems
programming-languages-for-ml-systems
|
✓ | — | 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 saved |
Aliases — catalog
- Python (CANONICAL) primary
- Python 2 (VERSION)
- Python 2.x (VERSION)
- Python 3 (VERSION)
- Python 3.10 (VERSION)
- Python 3.11 (VERSION)
- Python 3.12 (VERSION)
- Python 3.x (VERSION)
- py (VERSION)
- py2 (VERSION)
- py3 (VERSION)
- python 3 (VERSION)
- python 3.x (VERSION)
- python2 (VERSION)
- python3 (VERSION)
- python3.x (VERSION)
Context tags (catalog)
Stored enrichment (catalog DB)
- Category
- Language
- Sub-category
- Programming Language
- Vendor
- PSF
- License
- mit
- Year introduced
- 1991
- Confidence
- 0.99
- Version strategy
- SEPARATE_ENTITY
- Version tag
- 3
Maturity reasoning: Python appears in a very high volume of job descriptions across data, backend, automation, and ML roles, and remains a default hiring-pipeline language on major job boards and tech stacks.
Skill profile (library / DB)
- Skill nature
- LANGUAGE
- Volatility
- STABLE
- Typical lifespan
- EVERGREEN
- Category id
- 6
- Sub-category id
- 96
- Extractable
- True
- Also category
- False
Dimensions (API 2 worklist)
-
Cloud Security Scripting & DSL Languages Catalog dimension db id 248
Library dimension (catalog)
Roles linked in library: Cloud Security Engineer
-
Programming Languages Catalog dimension db id 1
Library dimension (catalog)
Roles linked in library: Backend Developer, Fullstack Developer, Fullstack Developer
-
Programming Languages & DSLs Catalog dimension db id 475
Library dimension (catalog)
Roles linked in library: Engineering Manager
-
Programming Languages and Scripting Catalog dimension db id 59
Library dimension (catalog)
Roles linked in library: Cyber Security Engineer
-
Programming Languages for Data Work Catalog dimension db id 21
Library dimension (catalog)
Roles linked in library: Data Engineer
-
Programming Languages for ML Systems Catalog dimension db id 39
Library dimension (catalog)
Roles linked in library: ML Engineer, MLOps Engineer
-
Programming Languages for XR Catalog dimension db id 97
Library dimension (catalog)
Roles linked in library: AR/VR Engineer
-
Python Programming Catalog dimension db id 290
Library dimension (catalog)
Roles linked in library: Python Backend Developer
API 3 link attempts (this skill)
| Dimension | Skill↔dim | Role↔dim | Outcome |
|---|---|---|---|
|
Cloud Security Scripting & DSL Languages
cloud-security-scripting-dsl-languages
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) |
|
Programming Languages
programming-languages
|
✓ | — | 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 and Scripting
programming-languages-and-scripting
|
✓ | — | 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 saved |
|
Programming Languages for ML Systems
programming-languages-for-ml-systems
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) |
|
Programming Languages for XR
programming-languages-for-xr
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) |
|
Python Programming
python-programming
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) |
Aliases — catalog
- Java (CANONICAL) primary
- JDK (VERSION)
- JDK 10 (VERSION)
- JDK 11 (VERSION)
- JDK 12 (VERSION)
- JDK 13 (VERSION)
- JDK 14 (VERSION)
- JDK 15 (VERSION)
- JDK 16 (VERSION)
- JDK 17 (VERSION)
- JDK 18 (VERSION)
- JDK 19 (VERSION)
- JDK 20 (VERSION)
- JDK 21 (VERSION)
- JDK 5 (VERSION)
- JDK 6 (VERSION)
- JDK 7 (VERSION)
- JDK 8 (VERSION)
- JDK 9 (VERSION)
- Java 1.0 (VERSION)
- Java 1.1 (VERSION)
- Java 1.2 (VERSION)
- Java 1.3 (VERSION)
- Java 1.4 (VERSION)
- Java 1.5 (VERSION)
- Java 1.6 (VERSION)
- Java 1.7 (VERSION)
- Java 1.8 (VERSION)
- Java 10 (VERSION)
- Java 11 (VERSION)
- Java 12 (VERSION)
- Java 13 (VERSION)
- Java 14 (VERSION)
- Java 15 (VERSION)
- Java 16 (VERSION)
- Java 17 (VERSION)
- Java 18 (VERSION)
- Java 19 (VERSION)
- Java 20 (VERSION)
- Java 21 (VERSION)
- Java 5 (VERSION)
- Java 6 (VERSION)
- Java 7 (VERSION)
- Java 8 (VERSION)
- Java 9 (VERSION)
- Java11 (VERSION)
- Java17 (VERSION)
- Java21 (VERSION)
- Java8 (VERSION)
- OpenJDK 11 (VERSION)
- OpenJDK 17 (VERSION)
- OpenJDK 21 (VERSION)
- OpenJDK 8 (VERSION)
- java 11 (VERSION)
- java 17 (VERSION)
- java 21 (VERSION)
- java 4 (VERSION)
- java 5 (VERSION)
- java 6 (VERSION)
- java 7 (VERSION)
- java 8 (VERSION)
- java lts (VERSION)
- java-11 (VERSION)
- java-17 (VERSION)
- java-21 (VERSION)
- java-4 (VERSION)
- java-5 (VERSION)
- java-6 (VERSION)
- java-7 (VERSION)
- java-8 (VERSION)
- java11 (VERSION)
- java17 (VERSION)
- java21 (VERSION)
- java4 (VERSION)
- java5 (VERSION)
- java6 (VERSION)
- java7 (VERSION)
- java8 (VERSION)
- jdk 11 (VERSION)
- jdk 17 (VERSION)
- jdk 21 (VERSION)
- jdk 4 (VERSION)
- jdk 5 (VERSION)
- jdk 6 (VERSION)
- jdk 7 (VERSION)
- jdk 8 (VERSION)
- jdk11 (VERSION)
- jdk17 (VERSION)
- jdk21 (VERSION)
- jdk4 (VERSION)
- jdk5 (VERSION)
- jdk6 (VERSION)
- jdk7 (VERSION)
- jdk8 (VERSION)
- jvm21 (VERSION)
Context tags (catalog)
Stored enrichment (catalog DB)
- Category
- Language
- Sub-category
- Programming Language
- Vendor
- Oracle
- License
- other_open
- Year introduced
- 1995
- Confidence
- 0.99
- Version strategy
- SEPARATE_ENTITY
- Version tag
- 21
Maturity reasoning: Java is a hiring-pipeline staple with very high JD volume across enterprise backend, Android, and cloud roles; it remains widely supported by major vendors and frameworks like Spring.
Skill profile (library / DB)
- Skill nature
- LANGUAGE
- Volatility
- STABLE
- Typical lifespan
- EVERGREEN
- Category id
- 6
- Sub-category id
- 96
- Extractable
- True
- Also category
- False
Dimensions (API 2 worklist)
-
Java Language and JVM Catalog dimension db id 279
Library dimension (catalog)
Roles linked in library: Java Backend Developer, Kotlin Backend Developer, Scala Backend Developer
-
Kotlin and Java Catalog dimension db id 161
Library dimension (catalog)
Roles linked in library: Android Developer
-
Native Mobile Languages Catalog dimension db id 274
Library dimension (catalog)
Roles linked in library: Native Mobile Developer
-
Pega Programming Languages & DSLs Catalog dimension db id 267
Library dimension (catalog)
Roles linked in library: Pega Developer
-
Programming Languages Catalog dimension db id 1
Library dimension (catalog)
Roles linked in library: Backend Developer, Fullstack Developer, Fullstack 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 |
|---|---|---|---|
|
Java Language and JVM
java-language-and-jvm
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) |
|
Kotlin and Java
kotlin-and-java
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) |
|
Native Mobile Languages
native-mobile-languages
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) |
|
Pega Programming Languages & DSLs
pega-programming-languages-dsls
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) |
|
Programming Languages
programming-languages
|
✓ | — | 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 saved |
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 |
|---|---|---|---|---|---|---|
| Spark | in_db |
ETL and ELT Tooling
etl-and-elt-tooling
|
✓ | ✓ | Existing dimension (library) · Role↔dimension saved | |
| Scala | in_db |
Programming Languages for Data Work
programming-languages-for-data-work
|
✓ | ✓ | Existing dimension (library) · Role↔dimension saved | |
| Scala | in_db |
Programming Languages for ML Systems
programming-languages-for-ml-systems
|
✓ | — | 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 saved | |
| Python | in_db |
Cloud Security Scripting & DSL Languages
cloud-security-scripting-dsl-languages
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) | |
| Python | in_db |
Programming Languages
programming-languages
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) | |
| Python | in_db |
Programming Languages & DSLs
programming-languages-dsls
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) | |
| Python | in_db |
Programming Languages and Scripting
programming-languages-and-scripting
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) | |
| Python | in_db |
Programming Languages for Data Work
programming-languages-for-data-work
|
✓ | ✓ | Existing dimension (library) · Role↔dimension saved | |
| Python | in_db |
Programming Languages for ML Systems
programming-languages-for-ml-systems
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) | |
| Python | in_db |
Programming Languages for XR
programming-languages-for-xr
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) | |
| Python | in_db |
Python Programming
python-programming
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) | |
| Java | in_db |
Java Language and JVM
java-language-and-jvm
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) | |
| Java | in_db |
Kotlin and Java
kotlin-and-java
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) | |
| Java | in_db |
Native Mobile Languages
native-mobile-languages
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) | |
| Java | in_db |
Pega Programming Languages & DSLs
pega-programming-languages-dsls
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) | |
| Java | in_db |
Programming Languages
programming-languages
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) | |
| Java | in_db |
Programming Languages & DSLs
programming-languages-dsls
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) | |
| Java | in_db |
Programming Languages for Data Work
programming-languages-for-data-work
|
✓ | ✓ | Existing dimension (library) · Role↔dimension saved |
Library artifacts (this run)
nano JD Parser — gpt-4.1-nano click to toggle
Show raw JSON
{
"JD_type": "pass",
"about_company": {
"source_marker": {
"first_5_words": "EPAM Anywhere is a part",
"last_5_words": "transformation services provider."
},
"text": "EPAM Anywhere is a part of EPAM Systems, Inc. (NYSE: EPAM). Since 1993, EPAM has leveraged its advanced software engineering heritage to become the foremost global digital transformation services provider.",
"word_count": 36
},
"certifications": [],
"company_name": "EPAM Systems, Inc.",
"ctc": null,
"domain": {
"primary": {
"aliases": [
"Tech Services",
"Digital Transformation"
],
"domain": "IT Services \u0026 Consulting"
},
"secondary": null
},
"education": [],
"experience": {
"max": null,
"min": 2,
"raw": "2+ years of experience in software development with Big Data technologies"
},
"job_locations": [
{
"aliases": [],
"city": null,
"country": "India",
"state": null,
"work_mode": "remote"
}
],
"role": "Middle Big Data Software Engineer",
"role_aliases": [
"Big Data Engineer",
"Data Engineer",
"Software Engineer"
],
"role_archetype": "Engineering",
"roles_and_responsibilities": [
{
"bullet_count": 2,
"heading": "Responsibilities",
"heading_was_present": true,
"source_marker": {
"first_5_words": "Develop Spark application for ingestion",
"last_5_words": "scalable, resilient and reliable"
},
"text": "Develop Spark application for ingestion and transformation\nContribute to making data platform more scalable, resilient and reliable",
"word_count": 17
},
{
"bullet_count": 5,
"heading": "Requirements",
"heading_was_present": true,
"source_marker": {
"first_5_words": "2+ years of experience in",
"last_5_words": "proficiency B1"
},
"text": "2+ years of experience in software development with Big Data technologies\nScala knowledge\nSQL skills\nPython and Java knowledge\nEnglish level proficiency B1",
"word_count": 25
}
],
"urls": []
}
API 1 — extract-from-jd click to toggle
{
"final_skills": [
{
"is_primary": true,
"skill_name": "Spark"
},
{
"is_primary": true,
"skill_name": "Scala"
},
{
"is_primary": true,
"skill_name": "SQL"
},
{
"is_primary": true,
"skill_name": "Python"
},
{
"is_primary": true,
"skill_name": "Java"
}
],
"jd_role": {
"display_name": "Middle Big Data Software Engineer",
"rationale": null,
"role_aliases": [
"Big Data Engineer",
"Data Engineer",
"Software Engineer"
],
"role_archetype": "Engineering",
"slug": ""
},
"nano_parsed": {
"JD_type": "pass",
"about_company": {
"source_marker": {
"first_5_words": "EPAM Anywhere is a part",
"last_5_words": "transformation services provider."
},
"text": "EPAM Anywhere is a part of EPAM Systems, Inc. (NYSE: EPAM). Since 1993, EPAM has leveraged its advanced software engineering heritage to become the foremost global digital transformation services provider.",
"word_count": 36
},
"certifications": [],
"company_name": "EPAM Systems, Inc.",
"ctc": null,
"domain": {
"primary": {
"aliases": [
"Tech Services",
"Digital Transformation"
],
"domain": "IT Services \u0026 Consulting"
},
"secondary": null
},
"education": [],
"experience": {
"max": null,
"min": 2,
"raw": "2+ years of experience in software development with Big Data technologies"
},
"job_locations": [
{
"aliases": [],
"city": null,
"country": "India",
"state": null,
"work_mode": "remote"
}
],
"role": "Middle Big Data Software Engineer",
"role_aliases": [
"Big Data Engineer",
"Data Engineer",
"Software Engineer"
],
"role_archetype": "Engineering",
"roles_and_responsibilities": [
{
"bullet_count": 2,
"heading": "Responsibilities",
"heading_was_present": true,
"source_marker": {
"first_5_words": "Develop Spark application for ingestion",
"last_5_words": "scalable, resilient and reliable"
},
"text": "Develop Spark application for ingestion and transformation\nContribute to making data platform more scalable, resilient and reliable",
"word_count": 17
},
{
"bullet_count": 5,
"heading": "Requirements",
"heading_was_present": true,
"source_marker": {
"first_5_words": "2+ years of experience in",
"last_5_words": "proficiency B1"
},
"text": "2+ years of experience in software development with Big Data technologies\nScala knowledge\nSQL skills\nPython and Java knowledge\nEnglish level proficiency B1",
"word_count": 25
}
],
"urls": []
},
"rejected": false,
"rejection_reason": null,
"run_id": "86ce26d3-87de-4298-822c-fc8a1b9cf5f8",
"stage3_signals": {
"alias_found": true,
"alias_match_roles": [
{
"display_name": "Data Engineer",
"kra_matches": null,
"matched_count": null,
"matched_skills": null,
"role_id": 2,
"score": 1.0,
"slug": "data-engineer",
"total_count": null
}
],
"kra_match_roles": [
{
"display_name": "Data Engineer",
"kra_matches": [
{
"kra_text": "Develops batch and real-time streaming data pipelines using Apache Spark, Apache Kafka, Apache Flink, or Airflow for data movement and processing at scale.",
"sentence": "Develop Spark application for ingestion and transformation",
"similarity": 0.5942
},
{
"kra_text": "Builds data ingestion pipelines to collect data from transactional databases, third-party APIs, event streams, and file sources into centralized data platforms.",
"sentence": "Contribute to making data platform more scalable, resilient and reliable",
"similarity": 0.5447
},
{
"kra_text": "Develops batch and real-time streaming data pipelines using Apache Spark, Apache Kafka, Apache Flink, or Airflow for data movement and processing at scale.",
"sentence": "2+ years of experience in software development with Big Data technologies",
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}
],
"matched_count": null,
"matched_skills": null,
"role_id": 2,
"score": 0.5368,
"slug": "data-engineer",
"total_count": null
},
{
"display_name": "Svelte Frontend Developer",
"kra_matches": [
{
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"similarity": 0.4858
},
{
"kra_text": "backend data integration",
"sentence": "Develop Spark application for ingestion and transformation",
"similarity": 0.4109
},
{
"kra_text": "backend data integration",
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],
"matched_count": null,
"matched_skills": null,
"role_id": 92,
"score": 0.4315,
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},
{
"display_name": "ML Engineer",
"kra_matches": [
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"similarity": 0.4203
},
{
"kra_text": "Builds model serving infrastructure to deploy trained models as real-time prediction APIs or batch inference jobs using TorchServe, TensorFlow Serving, or SageMaker.",
"sentence": "Contribute to making data platform more scalable, resilient and reliable",
"similarity": 0.3752
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{
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],
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},
{
"display_name": "Backend Developer",
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{
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"similarity": 0.4616
},
{
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},
{
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],
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},
{
"display_name": "MLOps Engineer",
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{
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},
{
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{
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}
],
"skill_match_roles": [
{
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"matched_count": 5,
"matched_skills": [
"Apache Spark",
"Java",
"Python",
"SQL",
"Scala"
],
"role_id": 2,
"score": 1.0,
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},
{
"display_name": "Engineering Manager",
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"matched_count": 3,
"matched_skills": [
"Java",
"Python",
"SQL"
],
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"score": 0.6,
"slug": "engineering-manager",
"total_count": 5
},
{
"display_name": "Fullstack Developer",
"kra_matches": null,
"matched_count": 2,
"matched_skills": [
"Java",
"Python"
],
"role_id": 15,
"score": 0.4,
"slug": "full-stack-engineer",
"total_count": 5
},
{
"display_name": "ML Engineer",
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"matched_count": 2,
"matched_skills": [
"Python",
"Scala"
],
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},
{
"display_name": "Backend Developer",
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"matched_count": 2,
"matched_skills": [
"Java",
"Python"
],
"role_id": 1,
"score": 0.4,
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}
]
},
"stage4_decision": {
"alias_collision_detected": false,
"case": "A",
"chosen_role": {
"display_name": "Data Engineer",
"kra_matches": null,
"matched_count": null,
"matched_skills": null,
"role_id": 2,
"score": 1.0,
"slug": "data-engineer",
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},
"confidence": 1.0,
"is_new_role": false,
"llm2_fired": false,
"llm2_reasoning": null,
"matched_dimensions": [],
"matched_kras": [],
"matched_skills": [],
"new_role_display_name": null,
"new_role_slug": null,
"queued": false,
"reasoning": "Exact alias hit on data-engineer (1.0) \u2014 no other alias at this confidence; skill_top data-engineer 1.00 does not contradict",
"sub_role": null
},
"stage5_updates": {
"centroid_n_after": 490,
"centroid_updated": true,
"collision_log_id": null,
"new_kra_attached": null,
"new_skills_attached": [],
"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,
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"matched_canonical": {
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"is_also_category": false,
"is_extractable": true,
"skill_nature": "FRAMEWORK",
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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": 272,
"existing_alias_text": "Scala",
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"matched_canonical": {
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"is_extractable": true,
"skill_nature": "LANGUAGE",
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},
"matched_via": "alias"
},
{
"alias_persist_skipped_reason": "alias_text already exists for this canonical skill",
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"input_term": "SQL",
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"is_extractable": true,
"skill_nature": "LANGUAGE",
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"volatility": "STABLE"
},
"matched_via": "alias"
},
{
"alias_persist_skipped_reason": "alias_text already exists for this canonical skill",
"alias_persisted": false,
"existing_alias_id": 67,
"existing_alias_text": "Python",
"input_term": "Python",
"matched_canonical": {
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"is_also_category": false,
"is_extractable": true,
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"typical_lifespan": "EVERGREEN",
"volatility": "STABLE"
},
"matched_via": "alias"
},
{
"alias_persist_skipped_reason": "alias_text already exists for this canonical skill",
"alias_persisted": false,
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"existing_alias_text": "Java",
"input_term": "Java",
"matched_canonical": {
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"display_name": "Java",
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"is_also_category": false,
"is_extractable": true,
"skill_nature": "LANGUAGE",
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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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},
{
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},
{
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{
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},
{
"display_name": "Android Developer",
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"slug": "android-engineer",
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},
{
"display_name": "Native Mobile Developer",
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"slug": "native-mobile-developer",
"source": "db"
}
],
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},
"dimensions": [
{
"dimension": {
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},
"input_skill": "Spark",
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]
},
{
"dimension": {
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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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]
},
{
"dimension": {
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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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"rationale": "Languages used to write security automation, analysis scripts, detection logic, and remediation helpers. This is the primary implementation surface for a cybersecurity engineer across tooling and response workflows.",
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},
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]
},
{
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},
{
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},
{
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"rationale": "Primary implementation languages used to build immersive client features, interaction logic, and device-specific runtime behavior. This is the core coding surface for AR/VR experiences.",
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},
{
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},
{
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]
},
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{
"alias_text": "JDK 7",
"alias_type": "VERSION",
"id": 2191,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "JDK 8",
"alias_type": "VERSION",
"id": 3,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "JDK 9",
"alias_type": "VERSION",
"id": 2193,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "Java 1.0",
"alias_type": "VERSION",
"id": 11,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "Java 1.1",
"alias_type": "VERSION",
"id": 12,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "Java 1.2",
"alias_type": "VERSION",
"id": 13,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "Java 1.3",
"alias_type": "VERSION",
"id": 14,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "Java 1.4",
"alias_type": "VERSION",
"id": 15,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "Java 1.5",
"alias_type": "VERSION",
"id": 16,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "Java 1.6",
"alias_type": "VERSION",
"id": 17,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "Java 1.7",
"alias_type": "VERSION",
"id": 18,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "Java 1.8",
"alias_type": "VERSION",
"id": 19,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "Java 10",
"alias_type": "VERSION",
"id": 2211,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "Java 11",
"alias_type": "VERSION",
"id": 8,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "Java 12",
"alias_type": "VERSION",
"id": 2213,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "Java 13",
"alias_type": "VERSION",
"id": 2214,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "Java 14",
"alias_type": "VERSION",
"id": 2215,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "Java 15",
"alias_type": "VERSION",
"id": 2216,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "Java 16",
"alias_type": "VERSION",
"id": 2217,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "Java 17",
"alias_type": "VERSION",
"id": 9,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "Java 18",
"alias_type": "VERSION",
"id": 2219,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "Java 19",
"alias_type": "VERSION",
"id": 2220,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "Java 20",
"alias_type": "VERSION",
"id": 2221,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "Java 21",
"alias_type": "VERSION",
"id": 10,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "Java 5",
"alias_type": "VERSION",
"id": 288,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "Java 6",
"alias_type": "VERSION",
"id": 289,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "Java 7",
"alias_type": "VERSION",
"id": 290,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "Java 8",
"alias_type": "VERSION",
"id": 7,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "Java 9",
"alias_type": "VERSION",
"id": 2210,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "Java11",
"alias_type": "VERSION",
"id": 2976,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "Java17",
"alias_type": "VERSION",
"id": 2977,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "Java21",
"alias_type": "VERSION",
"id": 2978,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "Java8",
"alias_type": "VERSION",
"id": 2971,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "OpenJDK 11",
"alias_type": "VERSION",
"id": 21,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "OpenJDK 17",
"alias_type": "VERSION",
"id": 22,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "OpenJDK 21",
"alias_type": "VERSION",
"id": 23,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "OpenJDK 8",
"alias_type": "VERSION",
"id": 20,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "java 11",
"alias_type": "VERSION",
"id": 1512,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "java 17",
"alias_type": "VERSION",
"id": 1513,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "java 21",
"alias_type": "VERSION",
"id": 1514,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "java 4",
"alias_type": "VERSION",
"id": 1496,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "java 5",
"alias_type": "VERSION",
"id": 1497,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "java 6",
"alias_type": "VERSION",
"id": 1498,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "java 7",
"alias_type": "VERSION",
"id": 1499,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "java 8",
"alias_type": "VERSION",
"id": 1500,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "java lts",
"alias_type": "VERSION",
"id": 3122,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "java-11",
"alias_type": "VERSION",
"id": 1515,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "java-17",
"alias_type": "VERSION",
"id": 1516,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "java-21",
"alias_type": "VERSION",
"id": 1517,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "java-4",
"alias_type": "VERSION",
"id": 1501,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "java-5",
"alias_type": "VERSION",
"id": 1502,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "java-6",
"alias_type": "VERSION",
"id": 1503,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "java-7",
"alias_type": "VERSION",
"id": 1504,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "java-8",
"alias_type": "VERSION",
"id": 1505,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "java11",
"alias_type": "VERSION",
"id": 1506,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "java17",
"alias_type": "VERSION",
"id": 1507,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "java21",
"alias_type": "VERSION",
"id": 1508,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "java4",
"alias_type": "VERSION",
"id": 1482,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "java5",
"alias_type": "VERSION",
"id": 1483,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "java6",
"alias_type": "VERSION",
"id": 1484,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "java7",
"alias_type": "VERSION",
"id": 1485,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "java8",
"alias_type": "VERSION",
"id": 1486,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "jdk 11",
"alias_type": "VERSION",
"id": 1509,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "jdk 17",
"alias_type": "VERSION",
"id": 1510,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "jdk 21",
"alias_type": "VERSION",
"id": 1511,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "jdk 4",
"alias_type": "VERSION",
"id": 1487,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "jdk 5",
"alias_type": "VERSION",
"id": 1488,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "jdk 6",
"alias_type": "VERSION",
"id": 1489,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "jdk 7",
"alias_type": "VERSION",
"id": 1490,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "jdk 8",
"alias_type": "VERSION",
"id": 1491,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "jdk11",
"alias_type": "VERSION",
"id": 1492,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "jdk17",
"alias_type": "VERSION",
"id": 1493,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "jdk21",
"alias_type": "VERSION",
"id": 1494,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "jdk4",
"alias_type": "VERSION",
"id": 1477,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "jdk5",
"alias_type": "VERSION",
"id": 1478,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "jdk6",
"alias_type": "VERSION",
"id": 1479,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "jdk7",
"alias_type": "VERSION",
"id": 1480,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "jdk8",
"alias_type": "VERSION",
"id": 1481,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "jvm21",
"alias_type": "VERSION",
"id": 1495,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
}
],
"canonical": {
"category_id": 6,
"display_name": "Java",
"id": 1,
"is_also_category": false,
"is_extractable": true,
"skill_nature": "LANGUAGE",
"slug": "java",
"sub_category_id": 96,
"typical_lifespan": "EVERGREEN",
"volatility": "STABLE"
},
"dimensions": [
{
"dimension": {
"difficulty_hint": "well_known",
"display_name": "Java Language and JVM",
"id": 279,
"rationale": "Core Java implementation skills used to build backend service logic, utilities, and internal abstractions. This is the primary coding surface for the role and includes language features plus JVM behavior that affect correctness and maintainability.",
"slug": "java-language-and-jvm",
"source": "db"
},
"input_skill": "Java",
"llm_role": null,
"roles_from_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": "Scala Backend Developer",
"id": 87,
"rationale": null,
"role_archetype": "Engineering",
"slug": "scala-backend-developer",
"source": "db"
}
]
},
{
"dimension": {
"difficulty_hint": "well_known",
"display_name": "Kotlin and Java",
"id": 161,
"rationale": "Primary implementation languages for Android app features, platform integration, and client-side business logic. Android engineers use these languages to build screens, state flows, service adapters, and device-aware behavior.",
"slug": "kotlin-and-java",
"source": "db"
},
"input_skill": "Java",
"llm_role": null,
"roles_from_db": [
{
"display_name": "Android Developer",
"id": 4,
"rationale": null,
"role_archetype": null,
"slug": "android-engineer",
"source": "db"
}
]
},
{
"dimension": {
"difficulty_hint": "well_known",
"display_name": "Native Mobile Languages",
"id": 274,
"rationale": "Primary implementation languages used to build platform-specific app features, UI logic, and device integrations. This is the core coding surface for native mobile work on one platform.",
"slug": "native-mobile-languages",
"source": "db"
},
"input_skill": "Java",
"llm_role": null,
"roles_from_db": [
{
"display_name": "Native Mobile Developer",
"id": 75,
"rationale": null,
"role_archetype": "Engineering",
"slug": "native-mobile-developer",
"source": "db"
}
]
},
{
"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": "Java",
"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",
"id": 1,
"rationale": "Primary implementation languages used to build client and server feature code. Full stack engineers need enough fluency to move across layers and implement product behavior end to end.",
"slug": "programming-languages",
"source": "db"
},
"input_skill": "Java",
"llm_role": null,
"roles_from_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": "Fullstack Developer",
"id": 435,
"rationale": null,
"role_archetype": "Engineering",
"slug": "fullstack-developer",
"source": "db"
},
{
"display_name": "Fullstack Developer",
"id": 15,
"rationale": null,
"role_archetype": null,
"slug": "full-stack-engineer",
"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": "Java",
"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": "Java",
"llm_role": null,
"roles_from_db": [
{
"display_name": "Data Engineer",
"id": 2,
"rationale": null,
"role_archetype": null,
"slug": "data-engineer",
"source": "db"
}
]
}
],
"input_skill": "Java",
"matched_via": "alias",
"new_alias_persisted": false,
"new_alias_text": null,
"new_skill_meta": null,
"source_tag": "db",
"was_in_llm_skills": true
}
],
"unmatched_skills": []
}
API 3 — final-role-output
{
"chosen_role": {
"display_name": "Data Engineer",
"id": 2,
"rationale": "Exact alias hit on data-engineer (1.0) \u2014 no other alias at this confidence; skill_top data-engineer 1.00 does not contradict",
"role_archetype": null,
"slug": "data-engineer",
"source": "db"
},
"chosen_role_resolution": "in_db",
"final_input_skills": [
{
"skill": "Spark",
"tag": "in_db"
},
{
"skill": "Scala",
"tag": "in_db"
},
{
"skill": "SQL",
"tag": "in_db"
},
{
"skill": "Python",
"tag": "in_db"
},
{
"skill": "Java",
"tag": "in_db"
}
],
"llm_cost_api1_usd": null,
"llm_cost_api2_usd": null,
"llm_cost_api3_usd": null,
"llm_cost_total_usd": null,
"persistence": {
"items": [
{
"chosen_role_id": 2,
"dimension": {
"difficulty_hint": "well_known",
"display_name": "ETL and ELT Tooling",
"id": 24,
"rationale": "Packaged tools for extracting, loading, and transforming data across systems. This dimension covers connector-based ingestion, transformation frameworks, and managed integration products.",
"slug": "etl-and-elt-tooling",
"source": "db"
},
"dimension_id": 24,
"input_skill": "Spark",
"llm_role": null,
"matched_chosen_role": true,
"outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension saved",
"role_dimension_saved": true,
"roles_from_db": [
{
"display_name": "Data Engineer",
"id": 2,
"rationale": null,
"role_archetype": null,
"slug": "data-engineer",
"source": "db"
}
],
"skill_dimension_saved": true,
"skill_id": 1350,
"skill_tag": "in_db",
"skipped_reason": null
},
{
"chosen_role_id": 2,
"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": "Scala",
"llm_role": null,
"matched_chosen_role": true,
"outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension saved",
"role_dimension_saved": true,
"roles_from_db": [
{
"display_name": "Data Engineer",
"id": 2,
"rationale": null,
"role_archetype": null,
"slug": "data-engineer",
"source": "db"
}
],
"skill_dimension_saved": true,
"skill_id": 102,
"skill_tag": "in_db",
"skipped_reason": null
},
{
"chosen_role_id": 2,
"dimension": {
"difficulty_hint": "well_known",
"display_name": "Programming Languages for ML Systems",
"id": 39,
"rationale": "Languages used to build training code, inference services, evaluation jobs, and ML glue code. This is the primary implementation surface for ML engineers across experimentation and productionization.",
"slug": "programming-languages-for-ml-systems",
"source": "db"
},
"dimension_id": 39,
"input_skill": "Scala",
"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": "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"
}
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