Data Consultant
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Confirmed on the employer's own hiring board on Oct 10, 2026. First seen by Alion on Oct 9, 2026.
Overview
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HCLTech is a major Indian multinational information technology (IT) services and consulting company headquartered in Noida, Uttar Pradesh. Spun off from the original HCL Group in 1991, it ranks as one of India's largest technology companies alongside firms like TCS, Infosys, and Wipro.
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
Other Requirements
null
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