Crisil - Semantic Data Modeler
2 weeks ago
Job description : We are seeking a highly skilled Semantic Data Modeler to join our data and AI team. This role will focus on designing and implementing canonical models, ontologies, and taxonomies to enable a unified semantic layer that bridges structured data from multiple silos (RDBMS and other sources) into AI-ready, knowledge-driven assets. The ideal candidate will bring expertise in both traditional data modeling (SQL, ER modeling) and semantic/knowledge representation (ontologies, RDF, OWL, SKOS), along with hands-on experience in leading ontology and taxonomy management tools.Key Responsibilities- Design, develop, and maintain ontologies, taxonomies, and knowledge graphs to support enterprise-wide semantic data integration.- Build a semantic abstraction layer that maps and harmonizes relational data (SQL/RDBMS) into AI-ready semantic structures.- Define and govern canonical data vocabularies across domains to ensure consistency, interoperability, and reuse.- Collaborate with data engineers, data scientists, and business stakeholders to model concepts that align with business needs and AI/ML initiatives.- Leverage ontology and taxonomy management tools (e.g., TopBraid Composer, PoolParty, Protégé, VocBench) for design, validation, and publishing.- Develop mapping strategies from ER models/logical data models to RDF/OWL-based ontologies leveraging Linked Data Modelling Language.- Ensure models adhere to semantic standards (RDF, OWL, SKOS, SHACL, SPARQL) and align with Unified enterprise architecture principles.- Support data cataloging, metadata enrichment, and semantic search through ontology-driven approaches.- Contribute to the organizations strategy of model once, leverage everywhere for data standardization and AI & Qualifications & Skills : - Bachelors or masters degree in computer science, Information Systems, Data Science or related field.- 5-8 Years of total experience in data modeling or information architecture or Data engineering. - Minimum 3+ years of hands-on experience in ontology/taxonomy development and semantic technologies.- Practical experience in ontology engineering tools such as : TopBraid Composer, PoolParty, Protégé (or similar)- Strong background in SQL, relational data modeling, and ER modeling.- Proven expertise in ontology engineering and taxonomy development using RDF, OWL, SKOS. - Solid understanding of semantic technologies (SPARQL, SHACL, R2RML, Knowledge Graphs).- Experience integrating relational data/schemas into semantic/Knowledge graphs- Familiarity with data integration patterns, metadata management, and data catalogs.- Excellent problem-solving, communication, and collaboration skills.Nice to Have : Python, RML/R2RML Mappings, Linked Data modelling Language or other modeling Skills : Ontology, Graph Databases, Taxonomy, Semantic Web, SKOS, OWL, RDF, Sparql, SQL, Relational Data Modelling (ref:hirist.tech)
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Semantic Data Modeler
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Hyderabad, Mumbai, Pune, India Crisil Full time ₹ 12,00,000 - ₹ 22,00,000 per yearJob description:We are seeking a highly skilled Semantic Data Modeler to join our data and AI team. This role will focus on designing and implementing canonical models, ontologies, and taxonomies to enable a unified semantic layer that bridges structured data from multiple silos (RDBMS and other sources) into AI-ready, knowledge-driven assets. The ideal...
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