Data Engineer

6 days ago

Faridabad, India Talent Integrators Full time

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

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