Title : Knowledge Graph Engineer
Position Summary
How You’ll Make an Impact (Responsibilities of Role)
Knowledge Graph Design & Engineering
- Design scalable knowledge graph schemas using property graph and/or RDF-based models.
- Develop and optimize graph queries using Cypher, SPARQL, or Gremlin.
- Model business entities, relationships, hierarchies, and context across domains.
- Build ingestion pipelines to transform enterprise data into graph structures.
Semantic Modeling & Ontology Development
- Create and maintain ontologies, taxonomies, and semantic models.
- Define canonical entity models and semantic mappings across data sources.
- Establish semantic validation, consistency standards, and data quality checks.
- Support ontology lifecycle management and schema evolution.
Data Integration & Semantic Enrichment
- Collaborate with engineering teams to ingest, transform, and enrich enterprise data.
- Support entity resolution, metadata enrichment, and relationship extraction.
- Enable semantic search, intelligent assistants, and knowledge-driven workflows.
APIs,
Collaboration & Platform Enablement
- Design and support graph APIs and semantic access layers.
- Partner with product, architecture, security, and domain teams on graph solutions.
- Document graph modeling standards, patterns, and best practices.
Quality, Governance & Performance
- Optimize query performance, indexing, and traversal efficiency.
- Contribute to metadata, lineage, governance, and access control practices.
- Ensure graph solutions are scalable, secure, and aligned with enterprise data standards.
What You Bring (Required Qualifications and Skill Sets)- Bachelor’s/master’s degree in computer science, Data Science, Engineering, Information Systems, Mathematics, or a related field.
- 5-7 years of experience in knowledge graph engineering, graph databases, semantic modeling, ontology engineering, or related data architecture roles.
- Solid hands-on experience with at least one graph pla
📌 Knowledge Graph Engineer (Pune)
🏢 Siemens
📍 Pune