Data Modeler

About the role

Work with key business representatives, data owners, end users, application designers and data architects to model current and new data. As a Data Modeler, a typical day involves engaging closely with various stakeholders including business representatives, data owners, end users, application designers, and data architects.

What you'll do

• Design and develop formal ontologies, taxonomies, and controlled vocabularies using OWL, RDFS, and SKOS
• Elicit and model domain knowledge through structured interviews and workshops with subject-matter experts
• Integrate ontologies with knowledge graph infrastructure (e.g. Neo4j, Amazon Neptune, Stardog) and validate consistency using reasoners such as HermiT or Pellet
• Write and maintain SPARQL queries and SHACL/ShEx constraints to validate data conformance
• Align internal models with industry standards and open standards such as schema.org, Dublin Core, or domain-specific vocabularies

What you need

• 5–9 years in data science & ai
• Python
• Data modelling
• ETL
• Machine learning
• Data structures
• B.Tech or B.E. or B.Sc or BCA