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Pipeline run

8af0cf71-6c35-4e69-a0a2-8e1b0fc380ca

Pipeline LLM cost (USD)
API 1: $0.0080 API 2: $0.0005 API 3: $0.0000 Total: $0.0084

Client output enrichment

v2 Skill cluster · Nature of work · AI index · Tech stack maturity · Evidence · KRA description
Nature of work · Database Development / Administration
Build and maintain database-heavy services: write SQL/PL-pgSQL and MongoDB queries/procedures, handle backups, restores, replication/sharding/indexing, and support Node.js/JSON plus Elasticsearch and MEAN-stack CRUD work.
"Expert Level SQL, pgSQL, MongoDb including stored procedures, functions, triggers, collections and views."
Tech stack maturity
Mainstream Modern
The stack centers on widely adopted modern data technologies like Elasticsearch, MongoDB, PostgreSQL, JSON, and Node.js, indicating a current but not bleeding-edge enterprise environment.
AI index (0 = no AI use, 5 = totally AI-dependent · v2.1)
0.00 / 5
· Title match
· Has AI skill
· AI skill (primary)
· AI skill (secondary)
· On AI team
· Builds AI products
vocab breakdown (legacy)
Assistants (×1):
Frameworks (×2):
Models / concepts (×3):
Evidence — skills matched in JD (19)
SQL PL/pgSQL MongoDB JSON Node.js PostgreSQL Aggregation Framework Indexing Replication Sharding mongodump mongorestore Filesystem Snapshots MongoDB Cloud Manager Elasticsearch Linux Unix CRUD MEAN Stack
Skill cluster (5 dimension groups, role-scoped)
Search and Content Discovery
Indexing Elasticsearch
API Interface and Contract Design
JSON
JavaScript and TypeScript
Node.js
Relational Database Usage
PostgreSQL
Cross-cutting / unaligned
SQL PL/pgSQL MongoDB Aggregation Framework Replication Sharding mongodump mongorestore Filesystem Snapshots MongoDB Cloud Manager Linux Unix CRUD MEAN Stack
Show KRA description ↓
• Expert Level SQL, pgSQL, MongoDb including stored procedures, functions, triggers, collections and views. • Knowledge of JSON, NodeJS and PostgreSQL support for JSON. • Knowledge of regular backups and recovery of databases. • Good Knowledge of Aggregation Framework, Indexing, Replication, Sharding and Server & Application Administration • Good Knowledge on Mongodump, Mongorestore, filesystem snapshots and MongoDB cloudmanager or equivalent mechanism to restore and backup other NoSQL DB's • Good knowledge on Elastic search implementation • Good experience in Linux/Unix commands • Hands-on experience with CRUD operations • Proficiency with MEAN Stack development

Signals

Skill full-stack-engineer
0.21
Alias full-stack-engineer
1.00
KRA full-stack-engineer
0.54

Post-classification

Centroidupdated · n=1
Alias collision log
New-role queue
New skills captured12
New KRA capturedyes

Captured for admin review

PL/pgSQL primary NoSQL DBA / Engineer pending
Aggregation Framework primary NoSQL DBA / Engineer pending
Replication primary NoSQL DBA / Engineer pending
Sharding primary NoSQL DBA / Engineer pending
mongodump primary NoSQL DBA / Engineer pending
mongorestore primary NoSQL DBA / Engineer pending
Filesystem Snapshots primary NoSQL DBA / Engineer pending
MongoDB Cloud Manager primary NoSQL DBA / Engineer pending
Linux primary NoSQL DBA / Engineer pending
Unix primary NoSQL DBA / Engineer pending
CRUD primary NoSQL DBA / Engineer pending
MEAN Stack primary NoSQL DBA / Engineer pending
R&R fragment (sim 0.00) NoSQL DBA / Engineer pending

• Expert Level SQL, pgSQL, MongoDb including stored procedures, functions, triggers, collections and views. • Knowledge of JSON, NodeJS and PostgreSQL support for JSON. • Knowledge of regular backups …

Status: completed Created: 2026-05-27T16:29:36.609219Z Updated: 2026-05-27T16:31:41.079403Z API 3 duration: 42953 ms
Flow Current 3-step pipeline

1 POST /skills/extract-from-jd

2 POST /skills/extract-details

3 POST /skills/final-role-output

Role Chosen role & resolution

NoSQL DBA / Engineer

domain · Database Specialists CASE DOMAIN

slug: nosql-dba-engineer · id: 200 · source: db

Domain=Database Specialists; The JD centers on MongoDB, NoSQL backup/restore, indexing, replication, sharding, and Elastic Search, which best matches a NoSQL DBA/Engineer role rather than a traditional SQL or PostgreSQL DBA role.

Matched skills

SQLpgSQLMongoDbstored proceduresfunctionstriggersJSONNodeJSPostgreSQLAggregation FrameworkIndexingReplicationShardingMongodumpMongorestoreElastic searchLinux/UnixCRUD operationsMEAN Stack

Matched dimensions

NoSQL Database AdministrationMongoDB EngineeringDatabase Backup and RecoveryData Modeling and Query OptimizationSearch Engine IntegrationLinux/Unix AdministrationFull Stack Development

Matched KRAs

Expert Level SQL, pgSQL, MongoDb including stored proceduresKnowledge of JSON, NodeJS and PostgreSQL support for JSONKnowledge of regular backups and recovery of databasesGood Knowledge of Aggregation Framework, Indexing, Replication, ShardingGood Knowledge on Mongodump, Mongorestore, filesystem snapshotsGood knowledge on Elastic search implementationGood experience in Linux/Unix commandsHands-on experience with CRUD operationsProficiency with MEAN Stack development

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

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

Job description

Minimum 3 years working as a Database developer full stack developer working with PostgreSQL, Linux, Mongo DB & MS SQL


Having good technical knowledge in Jira, and GIT, ability to write API or work closely with API Developers, Compass, and NoSQLBooster. Importing-Exporting data, Querying Data, Creating or manipulating documents, Advance CRUD operations, Indexing and Aggregation pipeline.


Responsibilities
• Expert Level SQL, pgSQL, MongoDb including stored procedures, functions, triggers, collections and views.
• Knowledge of JSON, NodeJS and PostgreSQL support for JSON.
• Knowledge of regular backups and recovery of databases.
• Good Knowledge of Aggregation Framework, Indexing, Replication, Sharding and Server & Application Administration
• Good Knowledge on Mongodump, Mongorestore, filesystem snapshots and MongoDB cloudmanager or equivalent mechanism to restore and backup other NoSQL DB's
• Good knowledge on Elastic search implementation
• Good experience in Linux/Unix commands
• Hands-on experience with CRUD operations
• Proficiency with MEAN Stack development


Qualifications
Diploma, B.Tech, BCA, BSc, MSc, MCA, ITI
Excellent verbal and written communication skills

Skills from this JD

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

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

Aliases — catalog

  • SQL (CANONICAL) primary

Context tags (catalog)

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

Stored enrichment (catalog DB)

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

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

Skill profile (library / DB)

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

Dimensions (API 2 worklist)

  • Pega Programming Languages & DSLs Catalog dimension db id 267

    Library dimension (catalog)

    Roles linked in library: Pega Developer

  • Programming Languages & 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)
PL/pgSQL Primary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

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

Derived legacy fields
Category
Programming Languages
Sub-category
general
Skill nature
LANGUAGE
Volatility
STABLE
Typical lifespan
EVERGREEN
Version strategy
UNVERSIONED
MongoDB Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: MongoDB id=91 · mongodb

Aliases — catalog

  • MongoDB (CANONICAL) primary
  • MongoDB 2.0 (VERSION)
  • MongoDB 2.2 (VERSION)
  • MongoDB 2.4 (VERSION)
  • MongoDB 2.6 (VERSION)
  • MongoDB 3.0 (VERSION)
  • MongoDB 3.2 (VERSION)
  • MongoDB 3.4 (VERSION)
  • MongoDB 3.6 (VERSION)
  • MongoDB 4 (VERSION)
  • MongoDB 4.0 (VERSION)
  • MongoDB 4.2 (VERSION)
  • MongoDB 4.4 (VERSION)
  • MongoDB 5 (VERSION)
  • MongoDB 5.0 (VERSION)
  • MongoDB 6 (VERSION)
  • MongoDB 6.0 (VERSION)
  • MongoDB 7 (VERSION)
  • MongoDB 7.0 (VERSION)
  • MongoDB 8 (VERSION)
  • MongoDB 8.0 (VERSION)

Context tags (catalog)

BSON CRUD GridFS MongoDB Atlas Mongoose NoSQL TTL index aggregation pipeline change streams collections documents indexes replica set sharding

Stored enrichment (catalog DB)

Category
Datastore
Sub-category
Document Database
Vendor
MongoDB, Inc.
License
other_open
Year introduced
2009
Confidence
0.99
Version strategy
SEPARATE_ENTITY
Version tag
8.0

Maturity reasoning: MongoDB appears in many job descriptions across backend/data roles and is a standard document database in modern stacks; strong GitHub/community activity and broad cloud vendor support indicate mainstream adoption.

Skill profile (library / DB)

Skill nature
TOOL
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
3
Sub-category id
27
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • NoSQL Databases Catalog dimension db id 19

    Library dimension (catalog)

    Roles linked in library: Backend Developer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
NoSQL Databases
nosql-databases
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
JSON Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: JSON id=1984 · json

Aliases — catalog

  • JSON (CANONICAL) primary

Context tags (catalog)

AJAX API JSON Schema JSON-LD JSONP JavaScript NoSQL REST configuration data binding data format data interchange data structure deserialization interoperability key-value pairs lightweight object notation schema serialization text-based

Stored enrichment (catalog DB)

Category
Format
Sub-category
Data Interchange Format
Confidence
0.99
Version strategy
NOT_APPLICABLE

Maturity reasoning: JSON is a default data interchange format in APIs and web stacks; it appears in a very high volume of job descriptions and is supported by every major language/runtime.

Skill profile (library / DB)

Skill nature
STANDARD
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
4
Sub-category id
1457
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 Interface and Contract Design Catalog dimension db id 289

    Library dimension (catalog)

    Roles linked in library: .NET Backend Developer, Go Backend Developer, Kotlin Backend Developer, Node.js Backend Developer, PHP Backend Developer, Python Backend Developer, Ruby Backend Developer, Scala Backend Developer

  • Integration Protocols & Standards Catalog dimension db id 271

    Library dimension (catalog)

    Roles linked in library: Pega 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)
API Interface and Contract Design
api-interface-and-contract-design
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Integration Protocols & Standards
integration-protocols-standards
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Node.js Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Node.js id=1564 · node-js

Aliases — catalog

  • Node.js (CANONICAL) primary
  • Node 20 LTS (VERSION)
  • Node 20.x (VERSION)
  • Node.js 20 (VERSION)
  • Node.js 20 LTS (VERSION)
  • Node.js 20.x (VERSION)
  • node (VERSION)
  • node 10 (VERSION)
  • node 12 (VERSION)
  • node 14 (VERSION)
  • node 16 (VERSION)
  • node 18 (VERSION)
  • node 20 (VERSION)
  • node v10 (VERSION)
  • node v12 (VERSION)
  • node v14 (VERSION)
  • node v16 (VERSION)
  • node v18 (VERSION)
  • node v20 (VERSION)
  • node.js (VERSION)
  • node.js 10 (VERSION)
  • node.js 12 (VERSION)
  • node.js 14 (VERSION)
  • node.js 16 (VERSION)
  • node.js 18 (VERSION)
  • node.js 20 (VERSION)
  • nodejs (VERSION)
  • nodejs 10 (VERSION)
  • nodejs 12 (VERSION)
  • nodejs 14 (VERSION)
  • nodejs 16 (VERSION)
  • nodejs 18 (VERSION)
  • nodejs 20 (VERSION)

Context tags (catalog)

API Asynchronous Event-driven Express GraphQL JavaScript Jest Koa Microservices Middleware Mocha MongoDB Mongoose NestJS RESTful Socket.io TypeScript npm

Stored enrichment (catalog DB)

Category
Runtime
Sub-category
Javascript Runtime
Vendor
OpenJS Foundation
License
mit
Year introduced
2009
Confidence
0.99
Version strategy
SEPARATE_ENTITY
Version tag
20

Maturity reasoning: Node.js appears in high-volume job postings across backend/full-stack roles and is a standard runtime in major cloud/vendor docs and ecosystem tooling, indicating broad hiring-pipeline adoption.

Skill profile (library / DB)

Skill nature
RUNTIME
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
67
Sub-category id
1872
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • JavaScript and TypeScript Catalog dimension db id 114

    Library dimension (catalog)

    Roles linked in library: Angular Frontend Developer, Frontend Developer, Ionic Developer, Node.js Backend Developer, React Frontend Developer, React Native Developer, Svelte Frontend Developer, Vue Frontend Developer, Web Developer

  • Web Application Frameworks Catalog dimension db id 2

    Library dimension (catalog)

    Roles linked in library: Backend Developer, Fullstack Developer, Fullstack Developer, Java Backend Developer, Node.js Backend Developer, PHP Backend Developer, Python Backend Developer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
JavaScript and TypeScript
javascript-and-typescript
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Web Application Frameworks
web-application-frameworks
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
PostgreSQL Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: PostgreSQL id=16 · postgresql

Aliases — catalog

  • PostgreSQL (CANONICAL) primary
  • PG 13 (VERSION)
  • PG 14 (VERSION)
  • PG 15 (VERSION)
  • PG 16 (VERSION)
  • PostgreSQL 13 (VERSION)
  • PostgreSQL 14 (VERSION)
  • PostgreSQL 15 (VERSION)
  • PostgreSQL 16 (VERSION)
  • Postgres 13 (VERSION)
  • Postgres 14 (VERSION)
  • Postgres 15 (VERSION)
  • Postgres 16 (VERSION)
  • pg10 (VERSION)
  • pg11 (VERSION)
  • pg12 (VERSION)
  • pg13 (VERSION)
  • pg14 (VERSION)
  • pg15 (VERSION)
  • pg16 (VERSION)
  • postgres (VERSION)
  • postgresql 10 (VERSION)
  • postgresql 11 (VERSION)
  • postgresql 12 (VERSION)
  • postgresql 13 (VERSION)
  • postgresql 14 (VERSION)
  • postgresql 15 (VERSION)
  • postgresql 16 (VERSION)
  • postgresql-16 (VERSION)
  • postgresql10 (VERSION)
  • postgresql11 (VERSION)
  • postgresql12 (VERSION)
  • postgresql13 (VERSION)
  • postgresql14 (VERSION)
  • postgresql15 (VERSION)
  • postgresql16 (VERSION)

Context tags (catalog)

ACID EXPLAIN JSONB PL/pgSQL PostGIS SQL VACUUM backup data integrity database migration extensions indexes indexing joins migration partitioning performance tuning pgAdmin query optimization replication schema stored procedures table partitioning transaction transactions triggers views

Stored enrichment (catalog DB)

Category
Datastore
Sub-category
Relational Database
Vendor
PostgreSQL Global Development Group
License
other_open
Year introduced
1996
Confidence
0.99
Version strategy
NOT_APPLICABLE

Maturity reasoning: PostgreSQL appears in a large share of backend/data engineering job postings and is a default managed option across AWS RDS, GCP Cloud SQL, and Azure Database, indicating broad hiring-pipeline adoption.

Skill profile (library / DB)

Skill nature
TOOL
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
3
Sub-category id
29
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Relational Data Modeling Catalog dimension db id 216

    Library dimension (catalog)

    Roles linked in library: Fullstack Developer, Fullstack Developer, PHP Backend Developer

  • Relational Database Design Catalog dimension db id 4

    Library dimension (catalog)

    Roles linked in library: .NET Backend Developer, Backend Developer, Kotlin Backend Developer, Node.js Backend Developer, Python Backend Developer, Ruby Backend Developer, Scala Backend Developer

  • Relational Database Usage Catalog dimension db id 371

    Library dimension (catalog)

    Roles linked in library: Go Backend Developer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Relational Data Modeling
relational-data-modeling
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Relational Database Design
relational-database-design
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Relational Database Usage
relational-database-usage
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Aggregation Framework Primary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

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

Derived legacy fields
Category
Databases
Sub-category
NoSQL Databases
Skill nature
CONCEPT
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Indexing Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: indexing id=20 · indexing

Aliases — catalog

  • indexing (CANONICAL) primary

Context tags (catalog)

B-tree Elasticsearch Lucene NoSQL NoSQL indexing SQL indexing bitmap index bitmap indexes cardinality clustered index columnstore index composite index composite indexes covering index data retrieval data warehousing database optimization database performance denormalization execution plan foreign key full-text search hash indexing index fragmentation index maintenance index scan index seek index structure indexing overhead indexing strategies indexing strategy inverted index materialized view non-clustered index nonclustered index normalization partitioned index partitioning primary key query optimization query optimizer query performance search algorithms secondary index secondary indexes selectivity unique index

Stored enrichment (catalog DB)

Category
Concept
Sub-category
Database Indexing
Confidence
0.90
Version strategy
NOT_APPLICABLE

Maturity reasoning: Database indexing is a standard requirement in SQL/NoSQL job descriptions and core DB docs; it’s broadly expected for performance tuning rather than a niche specialty.

Skill profile (library / DB)

Skill nature
CONCEPT
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
2
Sub-category id
2477
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Relational Data Modeling Catalog dimension db id 216

    Library dimension (catalog)

    Roles linked in library: Fullstack Developer, Fullstack Developer, PHP Backend Developer

  • Relational Database Design Catalog dimension db id 4

    Library dimension (catalog)

    Roles linked in library: .NET Backend Developer, Backend Developer, Kotlin Backend Developer, Node.js Backend Developer, Python Backend Developer, Ruby Backend Developer, Scala Backend Developer

  • Search and Content Discovery Catalog dimension db id 356

    Library dimension (catalog)

    Roles linked in library: Drupal Dev, Sitecore Dev

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Relational Data Modeling
relational-data-modeling
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Relational Database Design
relational-database-design
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Search and Content Discovery
search-and-content-discovery
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Replication Primary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

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

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

Skill enrichment (orchestrator / LLM)

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

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

Skill enrichment (orchestrator / LLM)

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

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

Skill enrichment (orchestrator / LLM)

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

Derived legacy fields
Category
Databases
Sub-category
general
Skill nature
TOOL
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Filesystem Snapshots Primary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

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

Derived legacy fields
Category
Infrastructure Tools
Sub-category
general
Skill nature
CONCEPT
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
MongoDB Cloud Manager Primary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

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

Derived legacy fields
Category
Cloud Platforms
Sub-category
Database Management
Skill nature
PLATFORM
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Elasticsearch Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Elasticsearch id=3171 · elasticsearch

Aliases — catalog

  • Elasticsearch (CANONICAL) primary
  • ES (VERSION)
  • ElasticSearch (VERSION)
  • Elasticsearch 6 (VERSION)
  • Elasticsearch 6.x (VERSION)
  • Elasticsearch 7 (VERSION)
  • Elasticsearch 7.x (VERSION)
  • Elasticsearch 8 (VERSION)
  • Elasticsearch 8.x (VERSION)
  • Elasticsearch v6 (VERSION)
  • Elasticsearch v7 (VERSION)
  • Elasticsearch v8 (VERSION)

Context tags (catalog)

ELK stack JSON Kibana Logstash Lucene REST API RESTful API aggregation cluster management data visualization document store full-text search indexing performance tuning query DSL real-time search replication scalability search analytics search relevance sharding

Stored enrichment (catalog DB)

Category
Datastore
Sub-category
Search Datastore
Vendor
Elastic NV
License
apache_2
Year introduced
2010
Confidence
0.93
Version strategy
SEPARATE_ENTITY
Version tag
8.x

Maturity reasoning: Commonly listed in job descriptions for search/log analytics roles and widely deployed in production; Elastic’s docs and ecosystem show sustained adoption rather than sunset or replacement.

Skill profile (library / DB)

Skill nature
TOOL
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
3
Sub-category id
2925
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Magento Search and Indexing Catalog dimension db id 403

    Library dimension (catalog)

    Roles linked in library: Magento Dev

  • Search and Content Discovery Catalog dimension db id 356

    Library dimension (catalog)

    Roles linked in library: Drupal Dev, Sitecore Dev

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Magento Search and Indexing
magento-search-and-indexing
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Search and Content Discovery
search-and-content-discovery
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Linux Primary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

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

Derived legacy fields
Category
Operating Systems
Sub-category
general
Skill nature
TOOL
Volatility
STABLE
Typical lifespan
EVERGREEN
Version strategy
UNVERSIONED
Unix Primary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

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

Derived legacy fields
Category
Operating Systems
Sub-category
general
Skill nature
TOOL
Volatility
STABLE
Typical lifespan
EVERGREEN
Version strategy
UNVERSIONED
CRUD Primary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

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

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

Skill enrichment (orchestrator / LLM)

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

Derived legacy fields
Category
Web Frameworks
Sub-category
general
Skill nature
CONCEPT
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED

All API 3 persistence rows

Same grid as the skill-extractor “Persistence items” table: one row per (skill × dimension) work item.

Skill Tag Dimension Skill↔dim Role↔dim Outcome Notes
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)
MongoDB in_db
NoSQL Databases
nosql-databases
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
JSON in_db
API Integration and Data Fetching
api-integration-and-data-fetching
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
JSON in_db
API Interface and Contract Design
api-interface-and-contract-design
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
JSON in_db
Integration Protocols & Standards
integration-protocols-standards
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Node.js in_db
JavaScript and TypeScript
javascript-and-typescript
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Node.js in_db
Web Application Frameworks
web-application-frameworks
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
PostgreSQL in_db
Relational Data Modeling
relational-data-modeling
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
PostgreSQL in_db
Relational Database Design
relational-database-design
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
PostgreSQL in_db
Relational Database Usage
relational-database-usage
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Indexing in_db
Relational Data Modeling
relational-data-modeling
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Indexing in_db
Relational Database Design
relational-database-design
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Indexing in_db
Search and Content Discovery
search-and-content-discovery
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Elasticsearch in_db
Magento Search and Indexing
magento-search-and-indexing
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Elasticsearch in_db
Search and Content Discovery
search-and-content-discovery
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)

Library artifacts (this run)

Kind Detail DB id
canonical_skill_proposed PL/pgSQL | type=Programming Languages subtype=general nature=LANGUAGE lifespan=EVERGREEN
canonical_skill_proposed Aggregation Framework | type=Databases subtype=NoSQL Databases nature=CONCEPT lifespan=MULTI_YEAR
canonical_skill_proposed Replication | type=Databases subtype=general nature=CONCEPT lifespan=MULTI_YEAR
canonical_skill_proposed Sharding | type=Databases subtype=general nature=CONCEPT lifespan=MULTI_YEAR
canonical_skill_proposed mongodump | type=Databases subtype=general nature=TOOL lifespan=MULTI_YEAR
canonical_skill_proposed mongorestore | type=Databases subtype=general nature=TOOL lifespan=MULTI_YEAR
canonical_skill_proposed Filesystem Snapshots | type=Infrastructure Tools subtype=general nature=CONCEPT lifespan=MULTI_YEAR
canonical_skill_proposed MongoDB Cloud Manager | type=Cloud Platforms subtype=Database Management nature=PLATFORM lifespan=MULTI_YEAR
canonical_skill_proposed Linux | type=Operating Systems subtype=general nature=TOOL lifespan=EVERGREEN
canonical_skill_proposed Unix | type=Operating Systems subtype=general nature=TOOL lifespan=EVERGREEN
canonical_skill_proposed CRUD | type=Databases subtype=general nature=CONCEPT lifespan=EVERGREEN
canonical_skill_proposed MEAN Stack | type=Web Frameworks subtype=general nature=CONCEPT lifespan=MULTI_YEAR
nano JD Parser — gpt-4.1-nano click to toggle
RoleDatabase Developer Full Stack Developer
ExperienceMinimum 3 years working as a Database developer full stack developer
DomainOther
JD type pass
Show raw JSON
{
  "JD_type": "pass",
  "about_company": null,
  "certifications": [],
  "company_name": null,
  "ctc": null,
  "domain": {
    "primary": {
      "aliases": [],
      "domain": "Other"
    },
    "secondary": null
  },
  "education": [
    {
      "level": "Bachelor\u0027s",
      "qualification": "Diploma/BTECH/BE/BCA/BSC/MSC/MCA/ITI - Any Discipline",
      "raw": "Diploma, B.Tech, BCA, BSc, MSc, MCA, ITI",
      "requirement": "required"
    }
  ],
  "experience": {
    "max": null,
    "min": 3,
    "raw": "Minimum 3 years working as a Database developer full stack developer"
  },
  "job_locations": [],
  "role": "Database Developer Full Stack Developer",
  "role_aliases": [
    "Full Stack Developer",
    "Database Developer"
  ],
  "role_archetype": "Engineering",
  "roles_and_responsibilities": [
    {
      "bullet_count": 9,
      "heading": "Responsibilities",
      "heading_was_present": true,
      "source_marker": {
        "first_5_words": "Responsibilities \u2022 Expert Level SQL,",
        "last_5_words": "with MEAN Stack development"
      },
      "text": "\u2022 Expert Level SQL, pgSQL, MongoDb including stored procedures, functions, triggers, collections and views.\n\u2022 Knowledge of JSON, NodeJS and PostgreSQL support for JSON.\n\u2022 Knowledge of regular backups and recovery of databases.\n\u2022 Good Knowledge of Aggregation Framework, Indexing, Replication, Sharding and Server \u0026 Application Administration\n\u2022 Good Knowledge on Mongodump, Mongorestore, filesystem snapshots and MongoDB cloudmanager or equivalent mechanism to restore and backup other NoSQL DB\u0027s\n\u2022 Good knowledge on Elastic search implementation\n\u2022 Good experience in Linux/Unix commands\n\u2022 Hands-on experience with CRUD operations\n\u2022 Proficiency with MEAN Stack development",
      "word_count": 104
    }
  ],
  "urls": []
}
API 1 — extract-from-jd click to toggle
{
  "final_skills": [
    {
      "is_primary": true,
      "skill_name": "SQL"
    },
    {
      "is_primary": true,
      "skill_name": "PL/pgSQL"
    },
    {
      "is_primary": true,
      "skill_name": "MongoDB"
    },
    {
      "is_primary": true,
      "skill_name": "JSON"
    },
    {
      "is_primary": true,
      "skill_name": "Node.js"
    },
    {
      "is_primary": true,
      "skill_name": "PostgreSQL"
    },
    {
      "is_primary": true,
      "skill_name": "Aggregation Framework"
    },
    {
      "is_primary": true,
      "skill_name": "Indexing"
    },
    {
      "is_primary": true,
      "skill_name": "Replication"
    },
    {
      "is_primary": true,
      "skill_name": "Sharding"
    },
    {
      "is_primary": true,
      "skill_name": "mongodump"
    },
    {
      "is_primary": true,
      "skill_name": "mongorestore"
    },
    {
      "is_primary": true,
      "skill_name": "Filesystem Snapshots"
    },
    {
      "is_primary": true,
      "skill_name": "MongoDB Cloud Manager"
    },
    {
      "is_primary": true,
      "skill_name": "Elasticsearch"
    },
    {
      "is_primary": true,
      "skill_name": "Linux"
    },
    {
      "is_primary": true,
      "skill_name": "Unix"
    },
    {
      "is_primary": true,
      "skill_name": "CRUD"
    },
    {
      "is_primary": true,
      "skill_name": "MEAN Stack"
    }
  ],
  "jd_role": {
    "display_name": "Database Developer Full Stack Developer",
    "rationale": null,
    "role_aliases": [
      "Full Stack Developer",
      "Database Developer"
    ],
    "role_archetype": "Engineering",
    "slug": ""
  },
  "nano_parsed": {
    "JD_type": "pass",
    "about_company": null,
    "certifications": [],
    "company_name": null,
    "ctc": null,
    "domain": {
      "primary": {
        "aliases": [],
        "domain": "Other"
      },
      "secondary": null
    },
    "education": [
      {
        "level": "Bachelor\u0027s",
        "qualification": "Diploma/BTECH/BE/BCA/BSC/MSC/MCA/ITI - Any Discipline",
        "raw": "Diploma, B.Tech, BCA, BSc, MSc, MCA, ITI",
        "requirement": "required"
      }
    ],
    "experience": {
      "max": null,
      "min": 3,
      "raw": "Minimum 3 years working as a Database developer full stack developer"
    },
    "job_locations": [],
    "role": "Database Developer Full Stack Developer",
    "role_aliases": [
      "Full Stack Developer",
      "Database Developer"
    ],
    "role_archetype": "Engineering",
    "roles_and_responsibilities": [
      {
        "bullet_count": 9,
        "heading": "Responsibilities",
        "heading_was_present": true,
        "source_marker": {
          "first_5_words": "Responsibilities \u2022 Expert Level SQL,",
          "last_5_words": "with MEAN Stack development"
        },
        "text": "\u2022 Expert Level SQL, pgSQL, MongoDb including stored procedures, functions, triggers, collections and views.\n\u2022 Knowledge of JSON, NodeJS and PostgreSQL support for JSON.\n\u2022 Knowledge of regular backups and recovery of databases.\n\u2022 Good Knowledge of Aggregation Framework, Indexing, Replication, Sharding and Server \u0026 Application Administration\n\u2022 Good Knowledge on Mongodump, Mongorestore, filesystem snapshots and MongoDB cloudmanager or equivalent mechanism to restore and backup other NoSQL DB\u0027s\n\u2022 Good knowledge on Elastic search implementation\n\u2022 Good experience in Linux/Unix commands\n\u2022 Hands-on experience with CRUD operations\n\u2022 Proficiency with MEAN Stack development",
        "word_count": 104
      }
    ],
    "urls": []
  },
  "rejected": false,
  "rejection_reason": null,
  "run_id": "8af0cf71-6c35-4e69-a0a2-8e1b0fc380ca",
  "stage3_signals": {
    "alias_found": true,
    "alias_match_roles": [
      {
        "display_name": "Fullstack Developer",
        "kra_matches": null,
        "matched_count": null,
        "matched_skills": null,
        "role_id": 15,
        "score": 1.0,
        "slug": "full-stack-engineer",
        "total_count": null
      },
      {
        "display_name": "Database Developer (SQL/PL-SQL)",
        "kra_matches": null,
        "matched_count": null,
        "matched_skills": null,
        "role_id": 201,
        "score": 1.0,
        "slug": "database-developer-sql-pl-sql",
        "total_count": null
      }
    ],
    "kra_match_roles": [
      {
        "display_name": "Fullstack Developer",
        "kra_matches": [
          {
            "kra_text": "Designs and queries relational databases like PostgreSQL and document stores like MongoDB, writing migrations, indexes, and optimized queries.",
            "sentence": "Expert Level SQL, pgSQL, MongoDb including stored procedures, functions, triggers, collections and views.",
            "similarity": 0.6601
          },
          {
            "kra_text": "Designs and queries relational databases like PostgreSQL and document stores like MongoDB, writing migrations, indexes, and optimized queries.",
            "sentence": "Good Knowledge of Aggregation Framework, Indexing, Replication, Sharding and Server \u0026 Application Administration",
            "similarity": 0.4799
          },
          {
            "kra_text": "Designs and queries relational databases like PostgreSQL and document stores like MongoDB, writing migrations, indexes, and optimized queries.",
            "sentence": "Good Knowledge on Mongodump, Mongorestore, filesystem snapshots and MongoDB cloudmanager or equivalent mechanism to restore and backup other NoSQL DB\u0027s",
            "similarity": 0.4659
          }
        ],
        "matched_count": null,
        "matched_skills": null,
        "role_id": 15,
        "score": 0.5353,
        "slug": "full-stack-engineer",
        "total_count": null
      },
      {
        "display_name": "Backend Developer",
        "kra_matches": [
          {
            "kra_text": "Writes database access logic including SQL queries, ORM mappings, stored procedures, and migration scripts for relational databases like PostgreSQL and MySQL.",
            "sentence": "Expert Level SQL, pgSQL, MongoDb including stored procedures, functions, triggers, collections and views.",
            "similarity": 0.5912
          },
          {
            "kra_text": "Identifies and resolves backend performance bottlenecks through query optimization, indexing strategies, connection pooling, and distributed caching with Redis.",
            "sentence": "Good Knowledge of Aggregation Framework, Indexing, Replication, Sharding and Server \u0026 Application Administration",
            "similarity": 0.4814
          },
          {
            "kra_text": "Writes database access logic including SQL queries, ORM mappings, stored procedures, and migration scripts for relational databases like PostgreSQL and MySQL.",
            "sentence": "Good Knowledge on Mongodump, Mongorestore, filesystem snapshots and MongoDB cloudmanager or equivalent mechanism to restore and backup other NoSQL DB\u0027s",
            "similarity": 0.3634
          }
        ],
        "matched_count": null,
        "matched_skills": null,
        "role_id": 1,
        "score": 0.4787,
        "slug": "backend-engineer",
        "total_count": null
      },
      {
        "display_name": "Cloud Architect",
        "kra_matches": [
          {
            "kra_text": "Designs multi-region and multi-availability-zone cloud infrastructure architectures for high availability, fault tolerance, and horizontal scalability.",
            "sentence": "Good Knowledge of Aggregation Framework, Indexing, Replication, Sharding and Server \u0026 Application Administration",
            "similarity": 0.4297
          },
          {
            "kra_text": "Designs backup policies, cross-region replication, and disaster recovery runbooks to meet defined RTO and RPO targets for critical workloads.",
            "sentence": "Good Knowledge on Mongodump, Mongorestore, filesystem snapshots and MongoDB cloudmanager or equivalent mechanism to restore and backup other NoSQL DB\u0027s",
            "similarity": 0.422
          },
          {
            "kra_text": "Conducts architecture reviews, approves technical design documents, and guides engineering teams through cloud migration and modernization projects.",
            "sentence": "Expert Level SQL, pgSQL, MongoDb including stored procedures, functions, triggers, collections and views.",
            "similarity": 0.3521
          }
        ],
        "matched_count": null,
        "matched_skills": null,
        "role_id": 9,
        "score": 0.4013,
        "slug": "cloud-architect",
        "total_count": null
      },
      {
        "display_name": "Data Engineer",
        "kra_matches": [
          {
            "kra_text": "Designs dimensional models, star schemas, data vault structures, and curated data mart tables to support BI tools and self-service analytics consumption.",
            "sentence": "Expert Level SQL, pgSQL, MongoDb including stored procedures, functions, triggers, collections and views.",
            "similarity": 0.4203
          },
          {
            "kra_text": "Optimizes pipeline throughput, partitioning strategies, and query performance across cloud data warehouses like Snowflake, BigQuery, or Redshift.",
            "sentence": "Good Knowledge of Aggregation Framework, Indexing, Replication, Sharding and Server \u0026 Application Administration",
            "similarity": 0.3971
          },
          {
            "kra_text": "Optimizes pipeline throughput, partitioning strategies, and query performance across cloud data warehouses like Snowflake, BigQuery, or Redshift.",
            "sentence": "Good Knowledge on Mongodump, Mongorestore, filesystem snapshots and MongoDB cloudmanager or equivalent mechanism to restore and backup other NoSQL DB\u0027s",
            "similarity": 0.3562
          }
        ],
        "matched_count": null,
        "matched_skills": null,
        "role_id": 2,
        "score": 0.3912,
        "slug": "data-engineer",
        "total_count": null
      },
      {
        "display_name": "Java Backend Developer",
        "kra_matches": [
          {
            "kra_text": "backend performance tuning",
            "sentence": "Good Knowledge of Aggregation Framework, Indexing, Replication, Sharding and Server \u0026 Application Administration",
            "similarity": 0.3782
          },
          {
            "kra_text": "backend performance tuning",
            "sentence": "Good knowledge on Elastic search implementation",
            "similarity": 0.3389
          },
          {
            "kra_text": "persistence and data modeling",
            "sentence": "Expert Level SQL, pgSQL, MongoDb including stored procedures, functions, triggers, collections and views.",
            "similarity": 0.324
          }
        ],
        "matched_count": null,
        "matched_skills": null,
        "role_id": 79,
        "score": 0.3471,
        "slug": "java-backend-developer",
        "total_count": null
      }
    ],
    "skill_match_roles": [
      {
        "display_name": "Fullstack Developer",
        "kra_matches": null,
        "matched_count": 4,
        "matched_skills": [
          "JSON",
          "Node.js",
          "PostgreSQL",
          "indexing"
        ],
        "role_id": 15,
        "score": 0.2105,
        "slug": "full-stack-engineer",
        "total_count": 19
      },
      {
        "display_name": "Python Backend Developer",
        "kra_matches": null,
        "matched_count": 4,
        "matched_skills": [
          "JSON",
          "Node.js",
          "PostgreSQL",
          "indexing"
        ],
        "role_id": 80,
        "score": 0.2105,
        "slug": "python-backend-developer",
        "total_count": 19
      },
      {
        "display_name": "Node.js Backend Developer",
        "kra_matches": null,
        "matched_count": 4,
        "matched_skills": [
          "JSON",
          "Node.js",
          "PostgreSQL",
          "indexing"
        ],
        "role_id": 82,
        "score": 0.2105,
        "slug": "node-backend-developer",
        "total_count": 19
      },
      {
        "display_name": "Backend Developer",
        "kra_matches": null,
        "matched_count": 4,
        "matched_skills": [
          "MongoDB",
          "Node.js",
          "PostgreSQL",
          "indexing"
        ],
        "role_id": 1,
        "score": 0.2105,
        "slug": "backend-engineer",
        "total_count": 19
      },
      {
        "display_name": "PHP Backend Developer",
        "kra_matches": null,
        "matched_count": 4,
        "matched_skills": [
          "JSON",
          "Node.js",
          "PostgreSQL",
          "indexing"
        ],
        "role_id": 86,
        "score": 0.2105,
        "slug": "php-backend-developer",
        "total_count": 19
      }
    ]
  },
  "stage4_decision": {
    "alias_collision_detected": false,
    "case": "DOMAIN",
    "chosen_role": {
      "display_name": "NoSQL DBA / Engineer",
      "kra_matches": null,
      "matched_count": null,
      "matched_skills": null,
      "role_id": 200,
      "score": 0.93,
      "slug": "nosql-dba-engineer",
      "total_count": null
    },
    "confidence": 0.93,
    "is_new_role": false,
    "llm2_fired": false,
    "llm2_reasoning": null,
    "matched_dimensions": [
      "NoSQL Database Administration",
      "MongoDB Engineering",
      "Database Backup and Recovery",
      "Data Modeling and Query Optimization",
      "Search Engine Integration",
      "Linux/Unix Administration",
      "Full Stack Development"
    ],
    "matched_kras": [
      "Expert Level SQL, pgSQL, MongoDb including stored procedures",
      "Knowledge of JSON, NodeJS and PostgreSQL support for JSON",
      "Knowledge of regular backups and recovery of databases",
      "Good Knowledge of Aggregation Framework, Indexing, Replication, Sharding",
      "Good Knowledge on Mongodump, Mongorestore, filesystem snapshots",
      "Good knowledge on Elastic search implementation",
      "Good experience in Linux/Unix commands",
      "Hands-on experience with CRUD operations",
      "Proficiency with MEAN Stack development"
    ],
    "matched_skills": [
      "SQL",
      "pgSQL",
      "MongoDb",
      "stored procedures",
      "functions",
      "triggers",
      "JSON",
      "NodeJS",
      "PostgreSQL",
      "Aggregation Framework",
      "Indexing",
      "Replication",
      "Sharding",
      "Mongodump",
      "Mongorestore",
      "Elastic search",
      "Linux/Unix",
      "CRUD operations",
      "MEAN Stack"
    ],
    "new_role_display_name": null,
    "new_role_slug": null,
    "queued": false,
    "reasoning": "Domain=Database Specialists; The JD centers on MongoDB, NoSQL backup/restore, indexing, replication, sharding, and Elastic Search, which best matches a NoSQL DBA/Engineer role rather than a traditional SQL or PostgreSQL DBA role.",
    "sub_role": null
  },
  "stage5_updates": {
    "centroid_n_after": 1,
    "centroid_updated": true,
    "collision_log_id": null,
    "new_kra_attached": {
      "best_kra_similarity": 0.0,
      "queue_id": 1516,
      "r_and_r_preview": "\u2022 Expert Level SQL, pgSQL, MongoDb including stored procedures, functions, triggers, collections and views.\n\u2022 Knowledge of JSON, NodeJS and PostgreSQL support for JSON.\n\u2022 Knowledge of regular backups ",
      "role_display_name": "NoSQL DBA / Engineer",
      "role_slug": "nosql-dba-engineer",
      "status": "pending"
    },
    "new_skills_attached": [
      {
        "is_primary": true,
        "queue_id": 20410,
        "role_display_name": "NoSQL DBA / Engineer",
        "role_slug": "nosql-dba-engineer",
        "skill_name": "PL/pgSQL",
        "status": "pending"
      },
      {
        "is_primary": true,
        "queue_id": 20411,
        "role_display_name": "NoSQL DBA / Engineer",
        "role_slug": "nosql-dba-engineer",
        "skill_name": "Aggregation Framework",
        "status": "pending"
      },
      {
        "is_primary": true,
        "queue_id": 20412,
        "role_display_name": "NoSQL DBA / Engineer",
        "role_slug": "nosql-dba-engineer",
        "skill_name": "Replication",
        "status": "pending"
      },
      {
        "is_primary": true,
        "queue_id": 20413,
        "role_display_name": "NoSQL DBA / Engineer",
        "role_slug": "nosql-dba-engineer",
        "skill_name": "Sharding",
        "status": "pending"
      },
      {
        "is_primary": true,
        "queue_id": 20414,
        "role_display_name": "NoSQL DBA / Engineer",
        "role_slug": "nosql-dba-engineer",
        "skill_name": "mongodump",
        "status": "pending"
      },
      {
        "is_primary": true,
        "queue_id": 20415,
        "role_display_name": "NoSQL DBA / Engineer",
        "role_slug": "nosql-dba-engineer",
        "skill_name": "mongorestore",
        "status": "pending"
      },
      {
        "is_primary": true,
        "queue_id": 20416,
        "role_display_name": "NoSQL DBA / Engineer",
        "role_slug": "nosql-dba-engineer",
        "skill_name": "Filesystem Snapshots",
        "status": "pending"
      },
      {
        "is_primary": true,
        "queue_id": 20417,
        "role_display_name": "NoSQL DBA / Engineer",
        "role_slug": "nosql-dba-engineer",
        "skill_name": "MongoDB Cloud Manager",
        "status": "pending"
      },
      {
        "is_primary": true,
        "queue_id": 20418,
        "role_display_name": "NoSQL DBA / Engineer",
        "role_slug": "nosql-dba-engineer",
        "skill_name": "Linux",
        "status": "pending"
      },
      {
        "is_primary": true,
        "queue_id": 20419,
        "role_display_name": "NoSQL DBA / Engineer",
        "role_slug": "nosql-dba-engineer",
        "skill_name": "Unix",
        "status": "pending"
      },
      {
        "is_primary": true,
        "queue_id": 20420,
        "role_display_name": "NoSQL DBA / Engineer",
        "role_slug": "nosql-dba-engineer",
        "skill_name": "CRUD",
        "status": "pending"
      },
      {
        "is_primary": true,
        "queue_id": 20421,
        "role_display_name": "NoSQL DBA / Engineer",
        "role_slug": "nosql-dba-engineer",
        "skill_name": "MEAN Stack",
        "status": "pending"
      }
    ],
    "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"
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              "display_name": "Node.js Backend Developer",
              "id": 82,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "node-backend-developer",
              "source": "db"
            },
            {
              "display_name": "Python Backend Developer",
              "id": 80,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "python-backend-developer",
              "source": "db"
            },
            {
              "display_name": "Ruby Backend Developer",
              "id": 85,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "ruby-backend-developer",
              "source": "db"
            },
            {
              "display_name": "Scala Backend Developer",
              "id": 87,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "scala-backend-developer",
              "source": "db"
            }
          ]
        },
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Relational Database Usage",
            "id": 371,
            "rationale": "Working effectively with operational relational databases from Go backend services. This includes schema-aware querying, indexing awareness, transactions, and understanding how service code interacts with PostgreSQL or similar systems.",
            "slug": "relational-database-usage",
            "source": "db"
          },
          "input_skill": "PostgreSQL",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "Go Backend Developer",
              "id": 81,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "go-backend-developer",
              "source": "db"
            }
          ]
        }
      ],
      "input_skill": "PostgreSQL",
      "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": "Aggregation Framework",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Databases",
          "skill_nature": "CONCEPT",
          "sub_category": "NoSQL Databases",
          "typical_lifespan": "MULTI_YEAR",
          "version_strategy": "UNVERSIONED",
          "volatility": "MEDIUM"
        },
        "enrichment": null,
        "keep_log": [],
        "locked_dimensions": [],
        "merge_log": [],
        "placed": null,
        "relationships": null,
        "skill_id": "aggregation-framework",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [
        {
          "alias_text": "indexing",
          "alias_type": "CANONICAL",
          "id": 148,
          "is_primary": true,
          "match_strategy": "CASE_INSENSITIVE"
        }
      ],
      "canonical": {
        "category_id": 2,
        "display_name": "indexing",
        "id": 20,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "CONCEPT",
        "slug": "indexing",
        "sub_category_id": 2477,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "dimensions": [
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Relational Data Modeling",
            "id": 216,
            "rationale": "Modeling and tuning relational persistence for backend features. PHP backend developers need this to shape schemas, indexes, transactions, and query-aware data structures that support application behavior.",
            "slug": "relational-data-modeling",
            "source": "db"
          },
          "input_skill": "Indexing",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "Fullstack Developer",
              "id": 15,
              "rationale": null,
              "role_archetype": null,
              "slug": "full-stack-engineer",
              "source": "db"
            },
            {
              "display_name": "Fullstack Developer",
              "id": 435,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "fullstack-developer",
              "source": "db"
            },
            {
              "display_name": "PHP Backend Developer",
              "id": 86,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "php-backend-developer",
              "source": "db"
            }
          ]
        },
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Relational Database Design",
            "id": 4,
            "rationale": "Modeling and operating relational persistence for backend services. Includes schema design, normalization, indexing, transactions, and query tuning for operational data stores.",
            "slug": "relational-database-design",
            "source": "db"
          },
          "input_skill": "Indexing",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": ".NET Backend Developer",
              "id": 83,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "dotnet-backend-developer",
              "source": "db"
            },
            {
              "display_name": "Backend Developer",
              "id": 1,
              "rationale": null,
              "role_archetype": "A Backend Engineer designs, builds, and maintains the server-side logic and data handling that power applications and services. They focus on implementing reliable business functionality, integrating with other systems, and ensuring the backend is scalable, maintainable, and observable.",
              "slug": "backend-engineer",
              "source": "db"
            },
            {
              "display_name": "Kotlin Backend Developer",
              "id": 84,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "kotlin-server-backend-developer",
              "source": "db"
            },
            {
              "display_name": "Node.js Backend Developer",
              "id": 82,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "node-backend-developer",
              "source": "db"
            },
            {
              "display_name": "Python Backend Developer",
              "id": 80,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "python-backend-developer",
              "source": "db"
            },
            {
              "display_name": "Ruby Backend Developer",
              "id": 85,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "ruby-backend-developer",
              "source": "db"
            },
            {
              "display_name": "Scala Backend Developer",
              "id": 87,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "scala-backend-developer",
              "source": "db"
            }
          ]
        },
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Search and Content Discovery",
            "id": 356,
            "rationale": "Implementing site search, indexing, and content discovery features in Drupal. This cluster is coherent because many Drupal sites need structured search experiences beyond basic navigation.",
            "slug": "search-and-content-discovery",
            "source": "db"
          },
          "input_skill": "Indexing",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "Drupal Dev",
              "id": 228,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "drupal-dev",
              "source": "db"
            },
            {
              "display_name": "Sitecore Dev",
              "id": 233,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "sitecore-dev",
              "source": "db"
            }
          ]
        }
      ],
      "input_skill": "Indexing",
      "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": "Replication",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Databases",
          "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": "replication",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "Sharding",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Databases",
          "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": "sharding",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "mongodump",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Databases",
          "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": "mongodump",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "mongorestore",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Databases",
          "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": "mongorestore",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "Filesystem Snapshots",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Infrastructure 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": "filesystem-snapshots",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "MongoDB Cloud Manager",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Cloud Platforms",
          "skill_nature": "PLATFORM",
          "sub_category": "Database Management",
          "typical_lifespan": "MULTI_YEAR",
          "version_strategy": "UNVERSIONED",
          "volatility": "MEDIUM"
        },
        "enrichment": null,
        "keep_log": [],
        "locked_dimensions": [],
        "merge_log": [],
        "placed": null,
        "relationships": null,
        "skill_id": "mongodb-cloud-manager",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [
        {
          "alias_text": "Elasticsearch",
          "alias_type": "CANONICAL",
          "id": 4648,
          "is_primary": true,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "ES",
          "alias_type": "VERSION",
          "id": 4649,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "ElasticSearch",
          "alias_type": "VERSION",
          "id": 4650,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "Elasticsearch 6",
          "alias_type": "VERSION",
          "id": 4651,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "Elasticsearch 6.x",
          "alias_type": "VERSION",
          "id": 4657,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "Elasticsearch 7",
          "alias_type": "VERSION",
          "id": 4652,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "Elasticsearch 7.x",
          "alias_type": "VERSION",
          "id": 4658,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "Elasticsearch 8",
          "alias_type": "VERSION",
          "id": 4653,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "Elasticsearch 8.x",
          "alias_type": "VERSION",
          "id": 4659,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "Elasticsearch v6",
          "alias_type": "VERSION",
          "id": 4654,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "Elasticsearch v7",
          "alias_type": "VERSION",
          "id": 4655,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "Elasticsearch v8",
          "alias_type": "VERSION",
          "id": 4656,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        }
      ],
      "canonical": {
        "category_id": 3,
        "display_name": "Elasticsearch",
        "id": 3171,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "TOOL",
        "slug": "elasticsearch",
        "sub_category_id": 2925,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "dimensions": [
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Magento Search and Indexing",
            "id": 403,
            "rationale": "Index-driven storefront data freshness and search behavior. This cluster is coherent because Magento commerce sites depend on indexing to keep catalog, price, and search results aligned with changing data.",
            "slug": "magento-search-and-indexing",
            "source": "db"
          },
          "input_skill": "Elasticsearch",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "Magento Dev",
              "id": 231,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "magento-dev",
              "source": "db"
            }
          ]
        },
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Search and Content Discovery",
            "id": 356,
            "rationale": "Implementing site search, indexing, and content discovery features in Drupal. This cluster is coherent because many Drupal sites need structured search experiences beyond basic navigation.",
            "slug": "search-and-content-discovery",
            "source": "db"
          },
          "input_skill": "Elasticsearch",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "Drupal Dev",
              "id": 228,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "drupal-dev",
              "source": "db"
            },
            {
              "display_name": "Sitecore Dev",
              "id": 233,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "sitecore-dev",
              "source": "db"
            }
          ]
        }
      ],
      "input_skill": "Elasticsearch",
      "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": "Linux",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Operating Systems",
          "skill_nature": "TOOL",
          "sub_category": "general",
          "typical_lifespan": "EVERGREEN",
          "version_strategy": "UNVERSIONED",
          "volatility": "STABLE"
        },
        "enrichment": null,
        "keep_log": [],
        "locked_dimensions": [],
        "merge_log": [],
        "placed": null,
        "relationships": null,
        "skill_id": "linux",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "Unix",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Operating Systems",
          "skill_nature": "TOOL",
          "sub_category": "general",
          "typical_lifespan": "EVERGREEN",
          "version_strategy": "UNVERSIONED",
          "volatility": "STABLE"
        },
        "enrichment": null,
        "keep_log": [],
        "locked_dimensions": [],
        "merge_log": [],
        "placed": null,
        "relationships": null,
        "skill_id": "unix",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "CRUD",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Databases",
          "skill_nature": "CONCEPT",
          "sub_category": "general",
          "typical_lifespan": "EVERGREEN",
          "version_strategy": "UNVERSIONED",
          "volatility": "STABLE"
        },
        "enrichment": null,
        "keep_log": [],
        "locked_dimensions": [],
        "merge_log": [],
        "placed": null,
        "relationships": null,
        "skill_id": "crud",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "MEAN Stack",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Web Frameworks",
          "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": "mean-stack",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    }
  ],
  "unmatched_skills": [
    "PL/pgSQL",
    "Aggregation Framework",
    "Replication",
    "Sharding",
    "mongodump",
    "mongorestore",
    "Filesystem Snapshots",
    "MongoDB Cloud Manager",
    "Linux",
    "Unix",
    "CRUD",
    "MEAN Stack"
  ]
}
API 3 — final-role-output
{
  "chosen_role": {
    "display_name": "NoSQL DBA / Engineer",
    "id": 200,
    "rationale": "Domain=Database Specialists; The JD centers on MongoDB, NoSQL backup/restore, indexing, replication, sharding, and Elastic Search, which best matches a NoSQL DBA/Engineer role rather than a traditional SQL or PostgreSQL DBA role.",
    "role_archetype": null,
    "slug": "nosql-dba-engineer",
    "source": "db"
  },
  "chosen_role_resolution": "in_db",
  "final_input_skills": [
    {
      "skill": "SQL",
      "tag": "in_db"
    },
    {
      "skill": "PL/pgSQL",
      "tag": "new"
    },
    {
      "skill": "MongoDB",
      "tag": "in_db"
    },
    {
      "skill": "JSON",
      "tag": "in_db"
    },
    {
      "skill": "Node.js",
      "tag": "in_db"
    },
    {
      "skill": "PostgreSQL",
      "tag": "in_db"
    },
    {
      "skill": "Aggregation Framework",
      "tag": "new"
    },
    {
      "skill": "Indexing",
      "tag": "in_db"
    },
    {
      "skill": "Replication",
      "tag": "new"
    },
    {
      "skill": "Sharding",
      "tag": "new"
    },
    {
      "skill": "mongodump",
      "tag": "new"
    },
    {
      "skill": "mongorestore",
      "tag": "new"
    },
    {
      "skill": "Filesystem Snapshots",
      "tag": "new"
    },
    {
      "skill": "MongoDB Cloud Manager",
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