Pipeline run
3c56814c-699b-4942-9a2e-00f5edcf5bc0
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
domain · Data Engineering & Analytics CASE DOMAINslug: data-engineer · id: 2 · source: db
Domain=Data Engineering & Analytics; The JD focuses on leading and building ETL processes and data pipelines with SQL/Python, code review, testing, debugging, and technical collaboration, which best matches Data Engineer.
Matched skills
Matched dimensions
Matched KRAs
Resolution:
in_db
— role exists in library; skill↔dim and role↔dim links saved when applicable.
Job description
Senior Data Engineer Chennai, India - Onsite About Us DeepLogica is a proprietary AI platform that empowers clients’ existing processes and systems to redefine eCommerce delivery. We utilize machine learning models to accurately predict supply chain events, provide actionable business insights and ultimately enhance the buying experience. About The Role We are looking for a highly motivated Senior Data Engineer who is excited to work with a small organization and grow their technical and managerial skills. The successful candidate will be responsible for designing, developing, testing, and maintaining ETL processes and data pipelines using Spark and databases. Main Responsibilities In collaboration with the other members of your team, you will be in charge or participate in the following activities: • Lead a small team of Data Engineers to deliver high-quality ETL processes and data pipelines. • Assign tasks to team members and monitor progress to ensure project timelines are met. • Provide technical guidance and support to team members as needed. • Participate in the development process, including coding, testing, and debugging to design and develop ETL processes and data pipelines using SQL, Python and other technologies. • Review code to ensure adherence to coding standards and best practices. • Collaborate with data engineers, data analysts, and data scientists in the development process. • Develop and maintain automated tests to ensure the reliability of ETL processes and data pipelines. • Troubleshoot and debug issues with ETL processes and data pipelines. • Document technical specifications, data flow diagrams, and system architectures. Required Education, Qualifications and Experience • Bachelors or Masters degree in computer science, software engineering, or a related field. • 3-5 years of experience in ETL development and data pipelines using Spark, SQL, and databases. • Strong knowledge of SQL, Python and database design principles. • Proven experience as a software developer and team leader. • Familiarity with cloud computing platforms, such as GCP, AWS or Azure • Familiarity with data warehousing and data modeling. Experience with Airflow is a plus. • Understanding of application architecture and design patterns. • Understanding of CRISP-DM and Scrum Agile, FDD methodologies. • Knowledge of software design patterns, best practices, and coding standards.
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
- 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) |
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 |
|---|---|---|---|---|---|---|
| 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) |
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": "DeepLogica is a proprietary AI",
"last_5_words": "and ultimately enhance the buying experience."
},
"text": "DeepLogica is a proprietary AI platform that empowers clients\u2019 existing processes and systems to redefine eCommerce delivery. We utilize machine learning models to accurately predict supply chain events, provide actionable business insights and ultimately enhance the buying experience.",
"word_count": 42
},
"certifications": [],
"company_name": "DeepLogica",
"ctc": null,
"domain": {
"primary": {
"aliases": [
"ITES",
"BPO",
"Tech Consulting"
],
"domain": "IT Services \u0026 Consulting"
},
"secondary": null
},
"education": [
{
"level": "Bachelor\u0027s",
"qualification": "BTECH/BE/MTECH/ME - Computer Science (or related)",
"raw": "Bachelors or Masters degree in computer science, software engineering, or a related field.",
"requirement": "required"
}
],
"experience": {
"max": 5,
"min": 3,
"raw": "3-5 years of experience in ETL development and data pipelines using Spark, SQL, and databases."
},
"job_locations": [
{
"aliases": [
"Chennai, TN"
],
"city": "Chennai",
"country": "India",
"state": null,
"work_mode": "onsite"
}
],
"role": "Senior Data Engineer",
"role_aliases": [
"Data Engineer",
"Senior Data Engineer",
"ETL Developer"
],
"role_archetype": "Data",
"roles_and_responsibilities": [
{
"bullet_count": 9,
"heading": "Main Responsibilities",
"heading_was_present": true,
"source_marker": {
"first_5_words": "In collaboration with the other",
"last_5_words": "data flow diagrams, and system architectures."
},
"text": "In collaboration with the other members of your team, you will be in charge or participate in the following activities:\n\u2022 Lead a small team of Data Engineers to deliver high-quality ETL processes and data pipelines.\n\u2022 Assign tasks to team members and monitor progress to ensure project timelines are met.\n\u2022 Provide technical guidance and support to team members as needed.\n\u2022 Participate in the development process, including coding, testing, and debugging to design and develop ETL processes and data pipelines using SQL, Python and other technologies.\n\u2022 Review code to ensure adherence to coding standards and best practices.\n\u2022 Collaborate with data engineers, data analysts, and data scientists in the development process.\n\u2022 Develop and maintain automated tests to ensure the reliability of ETL processes and data pipelines.\n\u2022 Troubleshoot and debug issues with ETL processes and data pipelines.\n\u2022 Document technical specifications, data flow diagrams, and system architectures.",
"word_count": 139
}
],
"urls": []
}
API 1 — extract-from-jd click to toggle
{
"final_skills": [
{
"is_primary": true,
"skill_name": "SQL"
},
{
"is_primary": true,
"skill_name": "Python"
}
],
"jd_role": {
"display_name": "Senior Data Engineer",
"rationale": null,
"role_aliases": [
"Data Engineer",
"Senior Data Engineer",
"ETL Developer"
],
"role_archetype": "Data",
"slug": ""
},
"nano_parsed": {
"JD_type": "pass",
"about_company": {
"source_marker": {
"first_5_words": "DeepLogica is a proprietary AI",
"last_5_words": "and ultimately enhance the buying experience."
},
"text": "DeepLogica is a proprietary AI platform that empowers clients\u2019 existing processes and systems to redefine eCommerce delivery. We utilize machine learning models to accurately predict supply chain events, provide actionable business insights and ultimately enhance the buying experience.",
"word_count": 42
},
"certifications": [],
"company_name": "DeepLogica",
"ctc": null,
"domain": {
"primary": {
"aliases": [
"ITES",
"BPO",
"Tech Consulting"
],
"domain": "IT Services \u0026 Consulting"
},
"secondary": null
},
"education": [
{
"level": "Bachelor\u0027s",
"qualification": "BTECH/BE/MTECH/ME - Computer Science (or related)",
"raw": "Bachelors or Masters degree in computer science, software engineering, or a related field.",
"requirement": "required"
}
],
"experience": {
"max": 5,
"min": 3,
"raw": "3-5 years of experience in ETL development and data pipelines using Spark, SQL, and databases."
},
"job_locations": [
{
"aliases": [
"Chennai, TN"
],
"city": "Chennai",
"country": "India",
"state": null,
"work_mode": "onsite"
}
],
"role": "Senior Data Engineer",
"role_aliases": [
"Data Engineer",
"Senior Data Engineer",
"ETL Developer"
],
"role_archetype": "Data",
"roles_and_responsibilities": [
{
"bullet_count": 9,
"heading": "Main Responsibilities",
"heading_was_present": true,
"source_marker": {
"first_5_words": "In collaboration with the other",
"last_5_words": "data flow diagrams, and system architectures."
},
"text": "In collaboration with the other members of your team, you will be in charge or participate in the following activities:\n\u2022 Lead a small team of Data Engineers to deliver high-quality ETL processes and data pipelines.\n\u2022 Assign tasks to team members and monitor progress to ensure project timelines are met.\n\u2022 Provide technical guidance and support to team members as needed.\n\u2022 Participate in the development process, including coding, testing, and debugging to design and develop ETL processes and data pipelines using SQL, Python and other technologies.\n\u2022 Review code to ensure adherence to coding standards and best practices.\n\u2022 Collaborate with data engineers, data analysts, and data scientists in the development process.\n\u2022 Develop and maintain automated tests to ensure the reliability of ETL processes and data pipelines.\n\u2022 Troubleshoot and debug issues with ETL processes and data pipelines.\n\u2022 Document technical specifications, data flow diagrams, and system architectures.",
"word_count": 139
}
],
"urls": []
},
"rejected": false,
"rejection_reason": null,
"run_id": "3c56814c-699b-4942-9a2e-00f5edcf5bc0",
"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": "Works with data analysts, data scientists, and business stakeholders to define data models, ingestion schedules, and data delivery requirements.",
"sentence": "Collaborate with data engineers, data analysts, and data scientists in the development process.",
"similarity": 0.6816
},
{
"kra_text": "Works with data analysts, data scientists, and business stakeholders to define data models, ingestion schedules, and data delivery requirements.",
"sentence": "Lead a small team of Data Engineers to deliver high-quality ETL processes and data pipelines.",
"similarity": 0.5769
},
{
"kra_text": "Monitors pipeline health, SLA breach alerts, and job failure notifications, and performs root cause analysis for data pipeline incidents.",
"sentence": "Troubleshoot and debug issues with ETL processes and data pipelines.",
"similarity": 0.5505
}
],
"matched_count": null,
"matched_skills": null,
"role_id": 2,
"score": 0.603,
"slug": "data-engineer",
"total_count": null
},
{
"display_name": "Engineering Manager",
"kra_matches": [
{
"kra_text": "Set team goals and delivery plans",
"sentence": "Assign tasks to team members and monitor progress to ensure project timelines are met.",
"similarity": 0.6482
},
{
"kra_text": "facilitate technical and delivery decisions",
"sentence": "Provide technical guidance and support to team members as needed.",
"similarity": 0.5006
},
{
"kra_text": "Set team goals and delivery plans",
"sentence": "In collaboration with the other members of your team, you will be in charge or participate in the following activities:",
"similarity": 0.4828
}
],
"matched_count": null,
"matched_skills": null,
"role_id": 121,
"score": 0.5439,
"slug": "engineering-manager",
"total_count": null
},
{
"display_name": "Angular Frontend Developer",
"kra_matches": [
{
"kra_text": "code review and refactoring",
"sentence": "Review code to ensure adherence to coding standards and best practices.",
"similarity": 0.6475
},
{
"kra_text": "collaboration with design and QA",
"sentence": "Collaborate with data engineers, data analysts, and data scientists in the development process.",
"similarity": 0.5019
},
{
"kra_text": "collaboration with design and QA",
"sentence": "In collaboration with the other members of your team, you will be in charge or participate in the following activities:",
"similarity": 0.4148
}
],
"matched_count": null,
"matched_skills": null,
"role_id": 90,
"score": 0.5214,
"slug": "angular-frontend-developer",
"total_count": null
},
{
"display_name": "Node.js Backend Developer",
"kra_matches": [
{
"kra_text": "code review and refactoring",
"sentence": "Review code to ensure adherence to coding standards and best practices.",
"similarity": 0.6475
},
{
"kra_text": "automated backend checks",
"sentence": "Develop and maintain automated tests to ensure the reliability of ETL processes and data pipelines.",
"similarity": 0.4772
},
{
"kra_text": "defect diagnosis and performance tuning",
"sentence": "Troubleshoot and debug issues with ETL processes and data pipelines.",
"similarity": 0.423
}
],
"matched_count": null,
"matched_skills": null,
"role_id": 82,
"score": 0.5159,
"slug": "node-backend-developer",
"total_count": null
},
{
"display_name": "DevOps Engineer",
"kra_matches": [
{
"kra_text": "Collaborates with development teams to improve build processes, reduce deployment friction, containerize applications, and adopt DevOps best practices.",
"sentence": "Collaborate with data engineers, data analysts, and data scientists in the development process.",
"similarity": 0.5332
},
{
"kra_text": "Monitors CI/CD pipeline reliability, identifies bottlenecks in delivery workflows, and improves deployment frequency, lead time, and failure recovery rate.",
"sentence": "Develop and maintain automated tests to ensure the reliability of ETL processes and data pipelines.",
"similarity": 0.5275
},
{
"kra_text": "Monitors CI/CD pipeline reliability, identifies bottlenecks in delivery workflows, and improves deployment frequency, lead time, and failure recovery rate.",
"sentence": "Troubleshoot and debug issues with ETL processes and data pipelines.",
"similarity": 0.4786
}
],
"matched_count": null,
"matched_skills": null,
"role_id": 10,
"score": 0.5131,
"slug": "devops-engineer",
"total_count": null
}
],
"skill_match_roles": [
{
"display_name": "Engineering Manager",
"kra_matches": null,
"matched_count": 2,
"matched_skills": [
"Python",
"SQL"
],
"role_id": 121,
"score": 1.0,
"slug": "engineering-manager",
"total_count": 2
},
{
"display_name": "Data Engineer",
"kra_matches": null,
"matched_count": 2,
"matched_skills": [
"Python",
"SQL"
],
"role_id": 2,
"score": 1.0,
"slug": "data-engineer",
"total_count": 2
},
{
"display_name": "ML Engineer",
"kra_matches": null,
"matched_count": 1,
"matched_skills": [
"Python"
],
"role_id": 3,
"score": 0.5,
"slug": "ml-engineer",
"total_count": 2
},
{
"display_name": "AR/VR Engineer",
"kra_matches": null,
"matched_count": 1,
"matched_skills": [
"Python"
],
"role_id": 8,
"score": 0.5,
"slug": "ar-vr-engineer",
"total_count": 2
},
{
"display_name": "Cyber Security Engineer",
"kra_matches": null,
"matched_count": 1,
"matched_skills": [
"Python"
],
"role_id": 5,
"score": 0.5,
"slug": "cybersecurity-engineer",
"total_count": 2
}
]
},
"stage4_decision": {
"alias_collision_detected": false,
"case": "DOMAIN",
"chosen_role": {
"display_name": "Data Engineer",
"kra_matches": null,
"matched_count": null,
"matched_skills": null,
"role_id": 2,
"score": 0.98,
"slug": "data-engineer",
"total_count": null
},
"confidence": 0.98,
"is_new_role": false,
"llm2_fired": false,
"llm2_reasoning": null,
"matched_dimensions": [
"ETL and data pipeline engineering",
"Team leadership and task coordination",
"Software development and code quality",
"Test automation and reliability",
"Technical documentation"
],
"matched_kras": [
"Lead a small team of Data Engineers",
"Deliver high-quality ETL processes and data pipelines",
"Assign tasks to team members and monitor progress",
"Provide technical guidance and support",
"Design and develop ETL processes and data pipelines",
"Review code to ensure adherence to standards",
"Develop and maintain automated tests",
"Troubleshoot and debug issues",
"Document technical specifications and architectures"
],
"matched_skills": [
"ETL processes",
"data pipelines",
"SQL",
"Python",
"coding",
"testing",
"debugging",
"code review",
"automated tests",
"data flow diagrams",
"system architectures"
],
"new_role_display_name": null,
"new_role_slug": null,
"queued": false,
"reasoning": "Domain=Data Engineering \u0026 Analytics; The JD focuses on leading and building ETL processes and data pipelines with SQL/Python, code review, testing, debugging, and technical collaboration, which best matches Data Engineer.",
"sub_role": null
},
"stage5_updates": {
"centroid_n_after": 402,
"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
{
"alias_matches": [
{
"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": {
"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"
},
"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": {
"category_id": 6,
"display_name": "Python",
"id": 5,
"is_also_category": false,
"is_extractable": true,
"skill_nature": "LANGUAGE",
"slug": "python",
"sub_category_id": 96,
"typical_lifespan": "EVERGREEN",
"volatility": "STABLE"
},
"matched_via": "alias"
}
],
"candidate_roles": [
{
"display_name": "Pega Developer",
"id": 24,
"rationale": null,
"role_archetype": null,
"slug": "pega-developer",
"source": "db"
},
{
"display_name": "Engineering Manager",
"id": 121,
"rationale": null,
"role_archetype": null,
"slug": "engineering-manager",
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}
]
},
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},
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}
]
}
],
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],
"input_llm_skills": [
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"new_aliases_persisted": 0,
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},
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{
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},
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],
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}
API 3 — final-role-output
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},
"chosen_role_resolution": "in_db",
"final_input_skills": [
{
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"tag": "in_db"
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{
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],
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"llm_cost_total_usd": null,
"persistence": {
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},
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"matched_chosen_role": false,
"outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
"role_dimension_saved": false,
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],
"skill_dimension_saved": true,
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"skill_tag": "in_db",
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