Pune, Maharashtra
Job Summary
Design, develop, and maintain RDF/OWL ontologies and semantic data models aligned with business requirements.
Build and manage knowledge graphs using standards like RDF, RDFS, OWL, and SKOS.
Define classes, properties, relationships, and constraints to ensure semantic consistency and data interoperability.
Collaborate with domain experts to translate business concepts into formal ontologies.
Develop and execute SPARQL queries for data extraction, validation, and transformation.
Perform data mapping and transformation from relational and non-relational sources into RDF formats.
Use tools such as Protégé, TopBraid, Stardog, GraphDB, or similar semantic platforms.
Implement ontology governance, versioning, and documentation standards.
Ensure data quality, reasoning, and inference rules using semantic reasoning engines.
Work closely with data engineers and application teams to integrate semantic models into enterprise systems and APIs.
Key Responsibilities
Design, develop, and maintain RDF/OWL ontologies and semantic data models aligned with business requirements.
Build and manage knowledge graphs using standards like RDF, RDFS, OWL, and SKOS.




Define classes, properties, relationships, and constraints to ensure semantic consistency and data interoperability.
Collaborate with domain experts to translate business concepts into formal ontologies.
Develop and execute SPARQL queries for data extraction, validation, and transformation.
Perform data mapping and transformation from relational and non-relational sources into RDF formats.
Use tools such as Protégé, TopBraid, Stardog, GraphDB, or similar semantic platforms.
Implement ontology governance, versioning, and documentation standards.
Ensure data quality, reasoning, and inference rules using semantic reasoning engines.
Work closely with data engineers and application teams to integrate semantic models into enterprise systems and APIs.
Skill Requirements

RDF Developer with Ontology skills

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📌 Data Consultant (India)
🏢 HCLTech
📍 India