hirly
Sign inGet started free

Coditude

GraphDB / Knowledge Graph Engineer

Pune, India

See how you match this job — and similar ones. Free.

Upload your resume and hirly scores it against this role at Coditude first, then against similar open jobs, and shows where you fit and why.

PDF or DOCX, up to 12MB. No sign-up to see your matches.

Get past the screening software and onto a recruiter's desk

hirly rewrites your resume for this job — matching the keywords and skills in the posting, moving your most relevant experience to the top, and writing a cover letter to fit. About 30 seconds.

  • Keywords matched to this posting
  • Fit score before you apply
  • Cover letter included

Matched against 2.3M live jobs from 200,000+ employers in 200+ countries.

Tailor my resume for this job →

hirly's read of this role

Seniority
Mid level
Country
IN
Work mode
On-site / unstated
First seen by hirly
23 Sept 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

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.
Original posting on Coditude's site ↗

Similar jobs

Browse similar roles

Want this one?

Upload your resume and hirly rewrites it for this job and writes the cover letter — in about thirty seconds, before you sign up.

Tailor my resume for this job