Role Purpose Build 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. Key Responsibilities Graph schema implementation —

implement the graph schema defined by the architect: node types, edge types, properties, keys and constraints. 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. Graph loading & pipelines —

develop and optimise graph load processes; implement incremental re-projection triggered by change data capture. Relationship modelling —

implement entity-to-entity, ownership (parent/subsidiary), officer/director and affiliation relationships, including bitemporal handling where required. 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. Performance optimisation —

tune graph queries and load performance; profile traversal cost; address scale bottlenecks. Graph quality validation —

implement automated checks on node/edge counts, orphan detection, relationship integrity and source traceability. Consumption support —

support exposure of graph data through API and SQL endpoints, and collaborate on GraphRAG indexing over graph projections. Required Skills & Experience Skill Area Specific Requirements Graph Databases Hands-on with one or more of: Fabric Graph, Neo4j, Cosmos DB (Gremlin), TigerGraph, Neptune. Robust LPG modelling Graph Query GQL (ISO/IEC 39075), Cypher or Gremlin; multi-hop traversal, path queries, pattern matching, query optimisation Data Engineering Python/PySpark, SQL, Delta Lake, ETL/ELT pipeline development, increm

📌 Graph DB Engineer (Mumbai)
🏢 EXL
📍 Mumbai