Job Description
Role Purpose
nBuild the Entity Graph. This role converts the resolved, canonical entity data into a production graph — implementing node and edge projections, loading and optimising the graph, enabling multi-hop traversal, and validating that the graph faithfully represents entity, ownership and affiliation relationships back to source.
nKey Responsibilities
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- n
- Graph schema implementation — implement the graph schema defined by the architect: node types, edge types, properties, keys and constraints.n
- Relational-to-graph projection — build and operate the projection logic that converts canonical relational entity tables into graph nodes and edges, with full source attribution.n
- Graph loading & pipelines — develop and optimise graph load processes; implement incremental re-projection triggered by change data capture.n
- Relationship modelling — implement entity-to-entity, ownership (parent/subsidiary), officer/director and affiliation relationships, including bitemporal handling where required.n




- Traversal & query engineering — write and optimise graph queries (GQL/Cypher-style) supporting multi-hop traversal scenarios such as corporate family trees and shared-agent affiliations.n
- Performance optimisation — tune graph queries and load performance; profile traversal cost; address scale bottlenecks.n
- Graph quality validation — implement automated checks on node/edge counts, orphan detection, relationship integrity and source traceability.n
- Consumption support — support exposure of graph data through API and SQL endpoints, and collaborate on GraphRAG indexing over graph projections.n

nRequired Skills & Experience
nSkill Area
nSpecific Requirements
nGraph Databases
nHands-on with one or more of: Fabric Graph, Neo4j, Cosmos DB (Gremlin), TigerGraph, Neptune. Robust LPG modelling
nGraph Query
nGQL (ISO/IEC 39075), Cypher or Gremlin; multi-hop traversal, path queries, pattern matching, query optimisation
nData Engineering

📌 Graph DB Engineer (Gurugram)
🏢 EXL
📍 Gurugram