Pipeline run
cd6cce21-d74b-407f-8539-31aec515cf8a
Client output enrichment
v2 Skill cluster · Nature of work · AI index · Tech stack maturity · Evidence · KRA descriptionvocab breakdown (legacy)
Signals
Post-classification
Captured for admin review
Lead moderately complex initiatives and deliverables within technical domain environments Contribute to large scale planning of strategies Design, code, test, debug, and document for projects and prog…
1 POST /skills/extract-from-jd
2 POST /skills/extract-details
3 POST /skills/final-role-output
Low-Code Developer
domain · ITSM & Automation CASE DOMAINslug: low-code-developer · id: 209 · source: db
Domain=ITSM & Automation; The JD centers on configuring a low-code enterprise application platform (ProcessUnity) with workflows, forms/templates, roles, reports, and deployments, which best matches a Low-Code Developer role.
Matched skills
Matched dimensions
Matched KRAs
Resolution:
in_db
— role exists in library; skill↔dim and role↔dim links saved when applicable.
Job description
About This Role Wells Fargo is seeking a Senior Software Engineer... In This Role, You Will Lead moderately complex initiatives and deliverables within technical domain environments Contribute to large scale planning of strategies Design, code, test, debug, and document for projects and programs associated with technology domain, including upgrades and deployments Review moderately complex technical challenges that require an in-depth evaluation of technologies and procedures Resolve moderately complex issues and lead a team to meet existing client needs or potential new clients needs while leveraging solid understanding of the function, policies, procedures, or compliance requirements Collaborate and consult with peers, colleagues, and mid-level managers to resolve technical challenges and achieve goals Lead projects and act as an escalation point, provide guidance and direction to less experienced staff Required Qualifications: Candidate should have hands-on experience of being part of implementation projects Good hands-on experience on any database Gather requirements and translate to Process Unity's capabilities. Develop and deliver deep product and technical expertise to ProcessUnity. Configure Process Unity's software applications using an enablement approach. Consult with business on system configuration based on product and industry best practices. Contribute to the development of best practices, project standards and methodologies to improve efficiency and effectiveness of implementations and team processes/policies/procedures Experience on configuring the ProcessUnity. This includes experience of configuring, Notifications, Emails, templates Data import templates for loading/Exporting data Objects workflows as per business needs, Triggering assessments and Screening questionnaires Process Metrics and Reports Configuring access using Teams, Users and Roles. Hands on experience in deployments process in various environments. Experience of using PU APIs for integrating PU platform with other platforms Participate in knowledge transfer sessions, product training and other strategic initiatives as needed. Desired Qualifications: Bachelor's/Master's degree in Computer Science or equivalent A Developer with more than 7+ years of experience in software development. Data Engineer experience (Reading, transforming and loading data from/to various sources/targets platforms) Having exposure to different ETL tools (SSIS/Alteryx is preferable) Having knowledge on API and their usage Having knowledge of RPA tool UI Path Having knowledge of Reporting tools like Tableau or Power BI Excellent verbal, written, and interpersonal communication skills Domain knowledge of Supply Chain Management and Third Party Risk Management will be added advantage. We Value Diversity At Wells Fargo, we believe in diversity, equity and inclusion in the workplace; accordingly, we welcome applications for employment from all qualified candidates, regardless of race, color, gender, national origin, religion, age, sexual orientation, gender identity, gender expression, genetic information, individuals with disabilities, pregnancy, marital status, status as a protected veteran or any other status protected by applicable law. Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements. Candidates applying to job openings posted in US: All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process. Reference Number R-210738-1
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 skipped (dimension not under chosen role) |
Skill enrichment (orchestrator / LLM)
No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).
- Category
- Databases
- Sub-category
- general
- Skill nature
- TOOL
- Volatility
- STABLE
- Typical lifespan
- EVERGREEN
- Version strategy
- UNVERSIONED
Skill enrichment (orchestrator / LLM)
No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).
- Category
- Data Engineering Tools
- Sub-category
- general
- Skill nature
- CONCEPT
- Volatility
- MEDIUM
- Typical lifespan
- MULTI_YEAR
- Version strategy
- UNVERSIONED
Skill enrichment (orchestrator / LLM)
No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).
- Category
- Data Engineering Tools
- Sub-category
- general
- Skill nature
- TOOL
- Volatility
- MEDIUM
- Typical lifespan
- MULTI_YEAR
- Version strategy
- UNVERSIONED
Skill enrichment (orchestrator / LLM)
No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).
- Category
- Data Engineering Tools
- Sub-category
- general
- Skill nature
- TOOL
- Volatility
- MEDIUM
- Typical lifespan
- MULTI_YEAR
- Version strategy
- UNVERSIONED
Aliases — catalog
- API (CANONICAL)
Context tags (catalog)
Stored enrichment (catalog DB)
- Category
- Concept
- Sub-category
- Application Programming Interface
- Confidence
- 0.93
- Version strategy
- NOT_APPLICABLE
Maturity reasoning: APIs are a core requirement in most software engineering JDs and underpin common integrations across cloud, mobile, and web stacks; major vendors like AWS, Stripe, and Google Cloud center products on API-first usage.
Skill profile (library / DB)
- Skill nature
- CONCEPT
- Volatility
- STABLE
- Typical lifespan
- EVERGREEN
- Category id
- 2
- Sub-category id
- 1174
- Extractable
- True
- Also category
- False
Dimensions (API 2 worklist)
-
API Integration and Data Fetching Catalog dimension db id 127
Library dimension (catalog)
Roles linked in library: Angular Frontend Developer, Frontend Developer, Fullstack Developer, Fullstack Developer, React Frontend Developer, Svelte Frontend Developer, Vue Frontend Developer, Web Developer
API 3 link attempts (this skill)
| Dimension | Skill↔dim | Role↔dim | Outcome |
|---|---|---|---|
|
API Integration and Data Fetching
api-integration-and-data-fetching
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) |
Skill enrichment (orchestrator / LLM)
No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).
- Category
- Automation Tools
- Sub-category
- general
- Skill nature
- CONCEPT
- Volatility
- MEDIUM
- Typical lifespan
- MULTI_YEAR
- Version strategy
- UNVERSIONED
Skill enrichment (orchestrator / LLM)
No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).
- Category
- Automation Tools
- Sub-category
- general
- Skill nature
- TOOL
- Volatility
- MEDIUM
- Typical lifespan
- MULTI_YEAR
- Version strategy
- UNVERSIONED
Aliases — catalog
- Tableau (CANONICAL) primary
Context tags (catalog)
Stored enrichment (catalog DB)
- Category
- Platform
- Sub-category
- Bi Analytics Platform
- Vendor
- Tableau Software
- License
- proprietary
- Year introduced
- 2003
- Confidence
- 0.96
- Version strategy
- NOT_APPLICABLE
Maturity reasoning: Tableau appears frequently in BI/data analyst job descriptions and remains a standard enterprise analytics platform 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) |
Aliases — catalog
- Power BI (CANONICAL) primary
Context tags (catalog)
Stored enrichment (catalog DB)
- Category
- Platform
- Sub-category
- Bi Analytics Platform
- Vendor
- Microsoft
- License
- proprietary
- Year introduced
- 2015
- Confidence
- 0.96
- Version strategy
- NOT_APPLICABLE
Maturity reasoning: Power BI appears frequently in BI/data analyst job descriptions and is a standard Microsoft analytics platform in enterprise stacks, with strong vendor support and broad adoption.
Skill profile (library / DB)
- Skill nature
- PLATFORM
- Volatility
- STABLE
- Typical lifespan
- EVERGREEN
- Category id
- 9
- Sub-category id
- 111
- Extractable
- True
- Also category
- False
Dimensions (API 2 worklist)
-
BI and Visualization Tools Catalog dimension db id 31
Library dimension (catalog)
Roles linked in library: Data Engineer
API 3 link attempts (this skill)
| Dimension | Skill↔dim | Role↔dim | Outcome |
|---|---|---|---|
|
BI and Visualization Tools
bi-and-visualization-tools
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) |
Skill enrichment (orchestrator / LLM)
No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).
- Category
- Automation Tools
- Sub-category
- general
- Skill nature
- PLATFORM
- 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 |
|---|---|---|---|---|---|---|
| SQL | in_db |
Pega Programming Languages & DSLs
pega-programming-languages-dsls
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) | |
| SQL | in_db |
Programming Languages & DSLs
programming-languages-dsls
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) | |
| SQL | in_db |
Programming Languages for Data Work
programming-languages-for-data-work
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) | |
| API | in_db |
API Integration and Data Fetching
api-integration-and-data-fetching
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) | |
| Tableau | in_db |
BI and Visualization Tools
bi-and-visualization-tools
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) | |
| Power BI | in_db |
BI and Visualization Tools
bi-and-visualization-tools
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) |
Library artifacts (this run)
| Kind | Detail | DB id |
|---|---|---|
| canonical_skill_proposed | Database | type=Databases subtype=general nature=TOOL lifespan=EVERGREEN | |
| canonical_skill_proposed | ETL | type=Data Engineering Tools subtype=general nature=CONCEPT lifespan=MULTI_YEAR | |
| canonical_skill_proposed | SSIS | type=Data Engineering Tools subtype=general nature=TOOL lifespan=MULTI_YEAR | |
| canonical_skill_proposed | Alteryx | type=Data Engineering Tools subtype=general nature=TOOL lifespan=MULTI_YEAR | |
| canonical_skill_proposed | RPA | type=Automation Tools subtype=general nature=CONCEPT lifespan=MULTI_YEAR | |
| canonical_skill_proposed | UiPath | type=Automation Tools subtype=general nature=TOOL lifespan=MULTI_YEAR | |
| canonical_skill_proposed | ProcessUnity | type=Automation Tools subtype=general nature=PLATFORM lifespan=MULTI_YEAR |
nano JD Parser — gpt-4.1-nano click to toggle
Show raw JSON
{
"JD_type": "pass",
"about_company": {
"source_marker": {
"first_5_words": "At Wells Fargo, we believe",
"last_5_words": "protected by applicable law."
},
"text": "At Wells Fargo, we believe in diversity, equity and inclusion in the workplace; accordingly, we welcome applications for employment from all qualified candidates, regardless of race, color, gender, national origin, religion, age, sexual orientation, gender identity, gender expression, genetic information, individuals with disabilities, pregnancy, marital status, status as a protected veteran or any other status protected by applicable law.",
"word_count": 64
},
"certifications": [],
"company_name": "Wells Fargo",
"ctc": null,
"domain": {
"primary": {
"aliases": [],
"domain": "Other"
},
"secondary": null
},
"education": [
{
"level": "Bachelor\u0027s",
"qualification": "BTECH/BE/BSC - Computer Science (or equivalent)",
"raw": "Bachelor\u0027s/Master\u0027s degree in Computer Science or equivalent",
"requirement": "required"
}
],
"experience": {
"max": null,
"min": 7,
"raw": "more than 7+ years of experience in software development"
},
"job_locations": [],
"role": "Senior Software Engineer",
"role_aliases": [
"Software Engineer",
"SWE",
"Senior Developer"
],
"role_archetype": "Engineering",
"roles_and_responsibilities": [
{
"bullet_count": 0,
"heading": "In This Role, You Will",
"heading_was_present": true,
"source_marker": {
"first_5_words": "Lead moderately complex initiatives and",
"last_5_words": "less experienced staff"
},
"text": "Lead moderately complex initiatives and deliverables within technical domain environments\nContribute to large scale planning of strategies\nDesign, code, test, debug, and document for projects and programs associated with technology domain, including upgrades and deployments\nReview moderately complex technical challenges that require an in-depth evaluation of technologies and procedures\nResolve moderately complex issues and lead a team to meet existing client needs or potential new clients needs while leveraging solid understanding of the function, policies, procedures, or compliance requirements\nCollaborate and consult with peers, colleagues, and mid-level managers to resolve technical challenges and achieve goals\nLead projects and act as an escalation point, provide guidance and direction to less experienced staff",
"word_count": 104
},
{
"bullet_count": 0,
"heading": "Required Qualifications:",
"heading_was_present": true,
"source_marker": {
"first_5_words": "Candidate should have hands-on",
"last_5_words": "strategic initiatives as needed."
},
"text": "Candidate should have hands-on experience of being part of implementation projects\nGood hands-on experience on any database\nGather requirements and translate to Process Unity\u0027s capabilities.\nDevelop and deliver deep product and technical expertise to ProcessUnity.\nConfigure Process Unity\u0027s software applications using an enablement approach.\nConsult with business on system configuration based on product and industry best practices.\nContribute to the development of best practices, project standards and methodologies to improve efficiency and effectiveness of implementations and team processes/policies/procedures\nExperience on configuring the ProcessUnity. This includes experience of configuring,\nNotifications, Emails, templates\nData import templates for loading/Exporting data\nObjects workflows as per business needs,\nTriggering assessments and Screening questionnaires\nProcess Metrics and Reports\nConfiguring access using Teams, Users and Roles.\nHands on experience in deployments process in various environments.\nExperience of using PU APIs for integrating PU platform with other platforms\nParticipate in knowledge transfer sessions, product training and other strategic initiatives as needed.",
"word_count": 206
},
{
"bullet_count": 0,
"heading": "Desired Qualifications:",
"heading_was_present": true,
"source_marker": {
"first_5_words": "Bachelor\u0027s/Master\u0027s degree in Computer",
"last_5_words": "added advantage."
},
"text": "Bachelor\u0027s/Master\u0027s degree in Computer Science or equivalent\nA Developer with more than 7+ years of experience in software development.\nData Engineer experience (Reading, transforming and loading data from/to various sources/targets platforms)\nHaving exposure to different ETL tools (SSIS/Alteryx is preferable)\nHaving knowledge on API and their usage\nHaving knowledge of RPA tool UI Path\nHaving knowledge of Reporting tools like Tableau or Power BI\nExcellent verbal, written, and interpersonal communication skills\nDomain knowledge of Supply Chain Management and Third Party Risk Management will be added advantage.",
"word_count": 92
}
],
"urls": []
}
API 1 — extract-from-jd click to toggle
{
"final_skills": [
{
"is_primary": true,
"skill_name": "SQL"
},
{
"is_primary": false,
"skill_name": "Database"
},
{
"is_primary": true,
"skill_name": "ETL"
},
{
"is_primary": false,
"skill_name": "SSIS"
},
{
"is_primary": false,
"skill_name": "Alteryx"
},
{
"is_primary": true,
"skill_name": "API"
},
{
"is_primary": false,
"skill_name": "RPA"
},
{
"is_primary": false,
"skill_name": "UiPath"
},
{
"is_primary": false,
"skill_name": "Tableau"
},
{
"is_primary": false,
"skill_name": "Power BI"
},
{
"is_primary": true,
"skill_name": "ProcessUnity"
}
],
"jd_role": {
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"rationale": null,
"role_aliases": [
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"SWE",
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],
"role_archetype": "Engineering",
"slug": ""
},
"nano_parsed": {
"JD_type": "pass",
"about_company": {
"source_marker": {
"first_5_words": "At Wells Fargo, we believe",
"last_5_words": "protected by applicable law."
},
"text": "At Wells Fargo, we believe in diversity, equity and inclusion in the workplace; accordingly, we welcome applications for employment from all qualified candidates, regardless of race, color, gender, national origin, religion, age, sexual orientation, gender identity, gender expression, genetic information, individuals with disabilities, pregnancy, marital status, status as a protected veteran or any other status protected by applicable law.",
"word_count": 64
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"certifications": [],
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},
"education": [
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"raw": "Bachelor\u0027s/Master\u0027s degree in Computer Science or equivalent",
"requirement": "required"
}
],
"experience": {
"max": null,
"min": 7,
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},
"job_locations": [],
"role": "Senior Software Engineer",
"role_aliases": [
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"roles_and_responsibilities": [
{
"bullet_count": 0,
"heading": "In This Role, You Will",
"heading_was_present": true,
"source_marker": {
"first_5_words": "Lead moderately complex initiatives and",
"last_5_words": "less experienced staff"
},
"text": "Lead moderately complex initiatives and deliverables within technical domain environments\nContribute to large scale planning of strategies\nDesign, code, test, debug, and document for projects and programs associated with technology domain, including upgrades and deployments\nReview moderately complex technical challenges that require an in-depth evaluation of technologies and procedures\nResolve moderately complex issues and lead a team to meet existing client needs or potential new clients needs while leveraging solid understanding of the function, policies, procedures, or compliance requirements\nCollaborate and consult with peers, colleagues, and mid-level managers to resolve technical challenges and achieve goals\nLead projects and act as an escalation point, provide guidance and direction to less experienced staff",
"word_count": 104
},
{
"bullet_count": 0,
"heading": "Required Qualifications:",
"heading_was_present": true,
"source_marker": {
"first_5_words": "Candidate should have hands-on",
"last_5_words": "strategic initiatives as needed."
},
"text": "Candidate should have hands-on experience of being part of implementation projects\nGood hands-on experience on any database\nGather requirements and translate to Process Unity\u0027s capabilities.\nDevelop and deliver deep product and technical expertise to ProcessUnity.\nConfigure Process Unity\u0027s software applications using an enablement approach.\nConsult with business on system configuration based on product and industry best practices.\nContribute to the development of best practices, project standards and methodologies to improve efficiency and effectiveness of implementations and team processes/policies/procedures\nExperience on configuring the ProcessUnity. This includes experience of configuring,\nNotifications, Emails, templates\nData import templates for loading/Exporting data\nObjects workflows as per business needs,\nTriggering assessments and Screening questionnaires\nProcess Metrics and Reports\nConfiguring access using Teams, Users and Roles.\nHands on experience in deployments process in various environments.\nExperience of using PU APIs for integrating PU platform with other platforms\nParticipate in knowledge transfer sessions, product training and other strategic initiatives as needed.",
"word_count": 206
},
{
"bullet_count": 0,
"heading": "Desired Qualifications:",
"heading_was_present": true,
"source_marker": {
"first_5_words": "Bachelor\u0027s/Master\u0027s degree in Computer",
"last_5_words": "added advantage."
},
"text": "Bachelor\u0027s/Master\u0027s degree in Computer Science or equivalent\nA Developer with more than 7+ years of experience in software development.\nData Engineer experience (Reading, transforming and loading data from/to various sources/targets platforms)\nHaving exposure to different ETL tools (SSIS/Alteryx is preferable)\nHaving knowledge on API and their usage\nHaving knowledge of RPA tool UI Path\nHaving knowledge of Reporting tools like Tableau or Power BI\nExcellent verbal, written, and interpersonal communication skills\nDomain knowledge of Supply Chain Management and Third Party Risk Management will be added advantage.",
"word_count": 92
}
],
"urls": []
},
"rejected": false,
"rejection_reason": null,
"run_id": "cd6cce21-d74b-407f-8539-31aec515cf8a",
"stage3_signals": {
"alias_found": true,
"alias_match_roles": [
{
"display_name": "Backend Developer",
"kra_matches": null,
"matched_count": null,
"matched_skills": null,
"role_id": 1,
"score": 1.0,
"slug": "backend-engineer",
"total_count": null
}
],
"kra_match_roles": [
{
"display_name": "Flutter Developer",
"kra_matches": [
{
"kra_text": "collaborate with design, product, and backend teams",
"sentence": "Collaborate and consult with peers, colleagues, and mid-level managers to resolve technical challenges and achieve goals",
"similarity": 0.5875
},
{
"kra_text": "translate product and design requirements",
"sentence": "Gather requirements and translate to Process Unity\u0027s capabilities.",
"similarity": 0.5567
},
{
"kra_text": "collaborate with design, product, and backend teams",
"sentence": "Design, code, test, debug, and document for projects and programs associated with technology domain, including upgrades and deployments",
"similarity": 0.5133
}
],
"matched_count": null,
"matched_skills": null,
"role_id": 74,
"score": 0.5525,
"slug": "flutter-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": "Contribute to the development of best practices, project standards and methodologies to improve efficiency and effectiveness of implementations and team processes/policies/procedures",
"similarity": 0.5777
},
{
"kra_text": "Sets up and maintains development, staging, and production environments with consistent configuration management using Ansible, Puppet, or Chef.",
"sentence": "Hands on experience in deployments process in various environments.",
"similarity": 0.5254
},
{
"kra_text": "Collaborates with development teams to improve build processes, reduce deployment friction, containerize applications, and adopt DevOps best practices.",
"sentence": "Design, code, test, debug, and document for projects and programs associated with technology domain, including upgrades and deployments",
"similarity": 0.5152
}
],
"matched_count": null,
"matched_skills": null,
"role_id": 10,
"score": 0.5394,
"slug": "devops-engineer",
"total_count": null
},
{
"display_name": "Pega Developer",
"kra_matches": [
{
"kra_text": "Requirements analysis and process translation",
"sentence": "Gather requirements and translate to Process Unity\u0027s capabilities.",
"similarity": 0.6482
},
{
"kra_text": "business rule configuration and maintenance",
"sentence": "Consult with business on system configuration based on product and industry best practices.",
"similarity": 0.4889
},
{
"kra_text": "external system integration implementation",
"sentence": "Experience of using PU APIs for integrating PU platform with other platforms",
"similarity": 0.4791
}
],
"matched_count": null,
"matched_skills": null,
"role_id": 24,
"score": 0.5387,
"slug": "pega-developer",
"total_count": null
},
{
"display_name": "Cloud Architect",
"kra_matches": [
{
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}
API 2 — extract-details
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"id": 1568,
"is_also_category": false,
"is_extractable": true,
"skill_nature": "CONCEPT",
"slug": "api",
"sub_category_id": 1174,
"typical_lifespan": "EVERGREEN",
"volatility": "STABLE"
},
"dimensions": [
{
"dimension": {
"difficulty_hint": "well_known",
"display_name": "API Integration and Data Fetching",
"id": 127,
"rationale": "Client-side integration with backend endpoints and third-party services, including request shaping, response handling, and synchronization with UI state. This is central to frontend work because most screens depend on remote data.",
"slug": "api-integration-and-data-fetching",
"source": "db"
},
"input_skill": "API",
"llm_role": null,
"roles_from_db": [
{
"display_name": "Angular Frontend Developer",
"id": 90,
"rationale": null,
"role_archetype": "Engineering",
"slug": "angular-frontend-developer",
"source": "db"
},
{
"display_name": "Frontend Developer",
"id": 7,
"rationale": null,
"role_archetype": null,
"slug": "frontend-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"
},
{
"display_name": "React Frontend Developer",
"id": 89,
"rationale": null,
"role_archetype": "Engineering",
"slug": "react-frontend-developer",
"source": "db"
},
{
"display_name": "Svelte Frontend Developer",
"id": 92,
"rationale": null,
"role_archetype": "Engineering",
"slug": "svelte-frontend-developer",
"source": "db"
},
{
"display_name": "Vue Frontend Developer",
"id": 91,
"rationale": null,
"role_archetype": "Engineering",
"slug": "vue-frontend-developer",
"source": "db"
},
{
"display_name": "Web Developer",
"id": 25,
"rationale": null,
"role_archetype": null,
"slug": "web-developer",
"source": "db"
}
]
}
],
"input_skill": "API",
"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": "RPA",
"matched_via": null,
"new_alias_persisted": false,
"new_alias_text": null,
"new_skill_meta": {
"derived": {
"category": "Automation 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": "rpa",
"split_log": [],
"typed": null,
"warnings": []
},
"source_tag": "llm",
"was_in_llm_skills": true
},
{
"aliases_in_db": [],
"canonical": null,
"dimensions": [],
"input_skill": "UiPath",
"matched_via": null,
"new_alias_persisted": false,
"new_alias_text": null,
"new_skill_meta": {
"derived": {
"category": "Automation Tools",
"skill_nature": "TOOL",
"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": "uipath",
"split_log": [],
"typed": null,
"warnings": []
},
"source_tag": "llm",
"was_in_llm_skills": true
},
{
"aliases_in_db": [
{
"alias_text": "Tableau",
"alias_type": "CANONICAL",
"id": 359,
"is_primary": true,
"match_strategy": "CASE_INSENSITIVE"
}
],
"canonical": {
"category_id": 9,
"display_name": "Tableau",
"id": 150,
"is_also_category": false,
"is_extractable": true,
"skill_nature": "PLATFORM",
"slug": "tableau",
"sub_category_id": 111,
"typical_lifespan": "EVERGREEN",
"volatility": "STABLE"
},
"dimensions": [
{
"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"
},
"input_skill": "Tableau",
"llm_role": null,
"roles_from_db": [
{
"display_name": "Data Engineer",
"id": 2,
"rationale": null,
"role_archetype": null,
"slug": "data-engineer",
"source": "db"
}
]
}
],
"input_skill": "Tableau",
"matched_via": "alias",
"new_alias_persisted": false,
"new_alias_text": null,
"new_skill_meta": null,
"source_tag": "db",
"was_in_llm_skills": true
},
{
"aliases_in_db": [
{
"alias_text": "Power BI",
"alias_type": "CANONICAL",
"id": 360,
"is_primary": true,
"match_strategy": "CASE_INSENSITIVE"
}
],
"canonical": {
"category_id": 9,
"display_name": "Power BI",
"id": 151,
"is_also_category": false,
"is_extractable": true,
"skill_nature": "PLATFORM",
"slug": "power-bi",
"sub_category_id": 111,
"typical_lifespan": "EVERGREEN",
"volatility": "STABLE"
},
"dimensions": [
{
"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"
},
"input_skill": "Power BI",
"llm_role": null,
"roles_from_db": [
{
"display_name": "Data Engineer",
"id": 2,
"rationale": null,
"role_archetype": null,
"slug": "data-engineer",
"source": "db"
}
]
}
],
"input_skill": "Power BI",
"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": "ProcessUnity",
"matched_via": null,
"new_alias_persisted": false,
"new_alias_text": null,
"new_skill_meta": {
"derived": {
"category": "Automation Tools",
"skill_nature": "PLATFORM",
"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": "processunity",
"split_log": [],
"typed": null,
"warnings": []
},
"source_tag": "llm",
"was_in_llm_skills": true
}
],
"unmatched_skills": [
"Database",
"ETL",
"SSIS",
"Alteryx",
"RPA",
"UiPath",
"ProcessUnity"
]
}
API 3 — final-role-output
{
"chosen_role": {
"display_name": "Low-Code Developer",
"id": 209,
"rationale": "Domain=ITSM \u0026 Automation; The JD centers on configuring a low-code enterprise application platform (ProcessUnity) with workflows, forms/templates, roles, reports, and deployments, which best matches a Low-Code Developer role.",
"role_archetype": null,
"slug": "low-code-developer",
"source": "db"
},
"chosen_role_resolution": "in_db",
"final_input_skills": [
{
"skill": "SQL",
"tag": "in_db"
},
{
"skill": "Database",
"tag": "new"
},
{
"skill": "ETL",
"tag": "new"
},
{
"skill": "SSIS",
"tag": "new"
},
{
"skill": "Alteryx",
"tag": "new"
},
{
"skill": "API",
"tag": "in_db"
},
{
"skill": "RPA",
"tag": "new"
},
{
"skill": "UiPath",
"tag": "new"
},
{
"skill": "Tableau",
"tag": "in_db"
},
{
"skill": "Power BI",
"tag": "in_db"
},
{
"skill": "ProcessUnity",
"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": 209,
"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": 209,
"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"
},
"dimension_id": 475,
"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": "Engineering Manager",
"id": 121,
"rationale": null,
"role_archetype": null,
"slug": "engineering-manager",
"source": "db"
}
],
"skill_dimension_saved": true,
"skill_id": 101,
"skill_tag": "in_db",
"skipped_reason": null
},
{
"chosen_role_id": 209,
"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": 209,
"dimension": {
"difficulty_hint": "well_known",
"display_name": "API Integration and Data Fetching",
"id": 127,
"rationale": "Client-side integration with backend endpoints and third-party services, including request shaping, response handling, and synchronization with UI state. This is central to frontend work because most screens depend on remote data.",
"slug": "api-integration-and-data-fetching",
"source": "db"
},
"dimension_id": 127,
"input_skill": "API",
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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,
"roles_from_db": [
{
"display_name": "Angular Frontend Developer",
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"rationale": null,
"role_archetype": "Engineering",
"slug": "angular-frontend-developer",
"source": "db"
},
{
"display_name": "Frontend Developer",
"id": 7,
"rationale": null,
"role_archetype": null,
"slug": "frontend-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"
},
{
"display_name": "React Frontend Developer",
"id": 89,
"rationale": null,
"role_archetype": "Engineering",
"slug": "react-frontend-developer",
"source": "db"
},
{
"display_name": "Svelte Frontend Developer",
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"rationale": null,
"role_archetype": "Engineering",
"slug": "svelte-frontend-developer",
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},
{
"display_name": "Vue Frontend Developer",
"id": 91,
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"role_archetype": "Engineering",
"slug": "vue-frontend-developer",
"source": "db"
},
{
"display_name": "Web Developer",
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"role_archetype": null,
"slug": "web-developer",
"source": "db"
}
],
"skill_dimension_saved": true,
"skill_id": 1568,
"skill_tag": "in_db",
"skipped_reason": null
},
{
"chosen_role_id": 209,
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"difficulty_hint": "well_known",
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"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.",
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},
"dimension_id": 31,
"input_skill": "Tableau",
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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,
"roles_from_db": [
{
"display_name": "Data Engineer",
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"role_archetype": null,
"slug": "data-engineer",
"source": "db"
}
],
"skill_dimension_saved": true,
"skill_id": 150,
"skill_tag": "in_db",
"skipped_reason": null
},
{
"chosen_role_id": 209,
"dimension": {
"difficulty_hint": "well_known",
"display_name": "BI and Visualization Tools",
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"source": "db"
},
"dimension_id": 31,
"input_skill": "Power BI",
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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,
"roles_from_db": [
{
"display_name": "Data Engineer",
"id": 2,
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"role_archetype": null,
"slug": "data-engineer",
"source": "db"
}
],
"skill_dimension_saved": true,
"skill_id": 151,
"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": "cd6cce21-d74b-407f-8539-31aec515cf8a"
}