DE&A - AIML - Graph DB Data Engineer
This role focuses on designing and optimizing graph-based knowledge graphs for BFSI use cases, requiring expertise in ontology modeling, graph pipelines, and semantic accuracy. The engineer will collaborate with AI teams to integrate retrieval systems while ensuring high-performance graph traversal and query patterns.
Skills required
About this role
Role Summary
5+ Years of Exp in Design and implement ontology models, entity relationships, graph structures, and semantic enrichment pipelines for BFSI context engineering use cases.
Key Responsibilities
Design BFSI ontology and graph schema
Build entity and relationship extraction pipelines
Implement graph ingestion and transformation logic
Develop graph traversal and query patterns
Support GraphRAG implementation
Optimize graph performance and semantic accuracy
Collaborate with AI engineers for retrieval integration
Required Skills
Neo4j and Cypher
Python data engineering
Graph data modeling
Metadata and lineage concepts
SQL and data transformation
Entity relationship modeling
Good to Have
RDF/OWL/SPARQL
NetworkX
Graph analytics
BFSI domain exposure
Semantic web concepts
Responsibilities
Role Summary
5+ Years of Exp in Design and implement ontology models, entity relationships, graph structures, and semantic enrichment pipelines for BFSI context engineering use cases.
Key Responsibilities
Design BFSI ontology and graph schema
Build entity and relationship extraction pipelines
Implement graph ingestion and transformation logic
Develop graph traversal and query patterns
Support GraphRAG implementation
Optimize graph performance and semantic accuracy
Collaborate with AI engineers for retrieval integration
Required Skills
Neo4j and Cypher
Python data engineering
Graph data modeling
Metadata and lineage concepts
SQL and data transformation
Entity relationship modeling
Good to Have
RDF/OWL/SPARQL
NetworkX
Graph analytics
BFSI domain exposure
Semantic web concepts
Qualifications
BE