Data Engineer (Knowledge Graph & Semantic Data ) ? Automotive Industry

Job Description

JOB Description: Job Title: Data Engineer (Knowledge Graph & Semantic Data ) ? Automotive Industry Location: Gurgaon Type: Full-Time Experience Level: Senior Engineer (4+ years) Job Description: We are seeking a highly skilled Knowledge Graph & Semantic Data Engineer to design, model, and implement semantic data structures and knowledge representation systems for enterprise-scale applications. The role requires deep knowledge of semantic web technologies, ontology modeling, RDF standards, and modern LLM pipeline integration. You will work with cross-functional and global teams to build knowledge graphs, semantic data pipelines, ontology frameworks, and data mapping models that support AI-driven reasoning, automation, and domain knowledge representation. Key Responsibilities: ? Design and model ontologies using RDF, OWL, SHACL and other semantic web standards. ? Develop semantic data structures and ensure accurate RDF data modeling and serialization. ? Build and maintain knowledge graphs for business and technical domain representation. ? Model linked data concepts using semantic relationships and ontology patterns. ? Develop and orchestrate LLM pipelines, including prompt engineering, preprocessing, fine-tuning, evaluation, and integration with knowledge graphs. ? Implement semantic data integration, mapping heterogeneous data sources to RDF frameworks. ? Use SPARQL for querying, transforming, and managing semantic datasets. ? Define and model schemas in serialization formats such as Turtle, JSON-LD, and RDF/XML. ? Work with ontology editors and RDF libraries to design and implement scalable semantic systems. ? Support data ingestion pipelines that map relational and unstructured data into semantic formats. ? Collaborate with AI, data engineering, and software teams to enable semantic interoperability across platforms. Required Skills & Background General Knowledge ? Strong understanding of Semantic Web concepts (Linked Data, Ontologies). ? Expertise in ontology design and modeling (RDF, OWL, SHACL). ? Experience in knowledge graph engineering and semantic representation. ? Hands-on experience with RDF data modeling, triples, and graph-based data stores. ? Ability to design and integrate LLM pipelines into semantic frameworks. ? Experience in semantic data integration, mapping, and transformation. Languages ? RDF, OWL, SHACL (semantic data modeling) ? Turtle, JSON-LD, RDF/XML (serialization formats) ? Java and Python ? SPARQL (query language for RDF data) Tools & Frameworks ? Protege ? ontology editor ? RML, SPARQL-Generate ? mapping relational and heterogeneous data to RDF ? Jena, RDFLib ? RDF processing libraries Soft Skills ? Strong analytical and conceptual modeling abilities ? Ability to understand complex domain knowledge and convert it to semantic structures ? Excellent communication and documentation skills ? Ability to collaborate with AI/ML, data engineering, and platform teams