GraphDB / Knowledge Graph Engineer

Location: Pune, India

Department: Technology & Innovation

Experience: 6+

Skills: Graph query languages, Neo4j, TigerGraph, or similar, Ontology and semantic modeling, Cypher, Gremlin, or SPARQL

• Design the graph data model for asset topology and ontology.
• Build and populate the knowledge graph from integrated source data.
• Define ontologies and relationships that reflect the physical and operational asset estate.
• Provide graph query interfaces for insights and downstream applications.
• Collaborate with the architect and data engineers to keep the graph in sync with the lakehouse.
• Prepare the graph layer to support agentic and advanced analytics use cases in later phases.

• Hands-on GraphDB / knowledge graph experience (Neo4j, TigerGraph, or similar).
• Ontology and semantic modeling experience.
• Strong graph query skills (Cypher, Gremlin, SPARQL, or equivalent).
• Ability to translate asset and topology data into a coherent graph model.
• Comfort integrating graph stores with a broader data platform.

• Experience modeling industrial assets, facilities, or building topology.
• Familiarity with RDF / OWL and reasoning.
• Exposure to graph-powered analytics or agentic use cases.

• Proactive and self-driven, able to take ownership and move work forward without waiting to be told.
• AI-enabled in day-to-day work, comfortable using AI tools and copilots to accelerate delivery and quality.
• Strong self-learner who stays current with evolving tools, platforms, and practices.
• Good team player who collaborates well across engineering, operations, and stakeholder groups.