Database Generation Intern
coditude
GraphDB / Knowledge Graph Engineer
coditude· Technology & Innovation
About this role
Phase: Initial phase for design, expanding in later phases
Required experience: 6+ years in data engineering, with 3+ years hands-on GraphDB / knowledge graph work.
Role summary
Designs and builds the graph layer that models asset topology and ontology. Turns the connected structure of assets, systems, and relationships into a queryable knowledge graph that complements the lakehouse and enables richer downstream use cases.
Key responsibilities
- 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.
Must-have skills and experience
- 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.
Nice to have
- Experience modeling industrial assets, facilities, or building topology.
- Familiarity with RDF / OWL and reasoning.
- Exposure to graph-powered analytics or agentic use cases.
Relevant stack
GraphDB (Neo4j / TigerGraph or similar), Cypher / Gremlin / SPARQL, RDF / OWL, integrated with Azure / Snowflake data platform.
General attributes
- 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.
Frequently Asked Questions
Is the salary disclosed for the GraphDB / Knowledge Graph Engineer position at coditude?
The salary for this GraphDB / Knowledge Graph Engineer role at coditude is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the GraphDB / Knowledge Graph Engineer position at coditude located?
This GraphDB / Knowledge Graph Engineer role at coditude is based in Pune, MH, India. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
Is the GraphDB / Knowledge Graph Engineer role at coditude full-time or part-time?
This is listed as a FULL TIME position. It is posted as a GraphDB / Knowledge Graph Engineer role in the Technology & Innovation department at coditude.
Which team or department does the GraphDB / Knowledge Graph Engineer at coditude belong to?
This GraphDB / Knowledge Graph Engineer position is part of the Technology & Innovation department at coditude. See the full job description for more information about the team structure and responsibilities.
How do I apply for the GraphDB / Knowledge Graph Engineer position at coditude?
Click the "Apply Now" button on this page. You will be redirected to coditude's official application portal hosted on keka where you can submit your application directly.
When was the GraphDB / Knowledge Graph Engineer job at coditude posted?
This GraphDB / Knowledge Graph Engineer position at coditude was posted on Sep 1, 2026. Apply as soon as possible — early applications are often reviewed first.
GraphDB / Knowledge Graph Engineer
coditude
You'll be redirected to coditude's official application page on keka.