Module Lead - RDF/OWL Ontologies Job
Yash · yash.com
PuneLead / Manager7–10 yrs
The job in short
Design and build RDF/OWL ontologies and knowledge graphs.
Details
- Found
- 8 d ago · posted 2026-10-08
- Location as listed
- Pune, IN
- Role
- Data Engineer
- Source
- The company’s own careers site
Full description
YASH Technologies is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation.
At YASH, we’re a cluster of the brightest stars working with cutting-edge technologies. Our purpose is anchored in a single truth – bringing real positive changes in an increasingly virtual world and it drives us beyond generational gaps and disruptions of the future.
We are looking forward to hire RDF/OWL Ontologies Professionals in the following areas :
Job description:
Experience required: 7-10 years
Ontology Developer:
• 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.
At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale.
Our Hyperlearning workplace is grounded upon four principles
• Flexible work arrangements, Free spirit, and emotional positivity
• Agile self-determination, trust, transparency, and open collaboration
• All Support needed for the realization of business goals,
• Stable employment with a great atmosphere and ethical corporate culture
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