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Mid-level metro role with moderately known employer and common experience range but niche graph specialization.
Graph engineering skills transferable, but BFSI ontology and semantic experience increase domain specificity.
Explicit 5+ years plus mandatory Neo4j, Cypher, Python and graph modeling skills.
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Design and implement ontology models, entity relationships, graph structures, and semantic enrichment pipelines for BFSI (Banking, Financial Services, and Insurance) context engineering use cases.
Build and optimize BFSI ontology, graph schema, ingestion, transformation logic, traversal, and query patterns to enhance graph performance and semantic accuracy.
Collaborate with AI engineers for retrieval integration and support GraphRAG implementation.
5+ years of experience in designing and implementing ontology models and graph data engineering.
Proficiency in Neo4j and Cypher, Python data engineering, graph data modeling, SQL, metadata and lineage concepts, and entity relationship modeling.
Bachelor's degree in Engineering (BE) or equivalent.
Experience or knowledge specific to BFSI domain is preferred but not mandatory.
Experienced in working with BFSI domain use cases focusing on ontology and graph database engineering.
Skilled in building semantic enrichment pipelines and optimizing graph database performance.
Capable of collaborating effectively with AI engineering teams for integrated retrieval solutions.