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

Job Title: Data Engineer (Knowledge Graph & Semantic Data ) – Automotive Industry

Location: Gurgaon

Type: Full-Time

Experience Level: Senior Engineer (4+ years)

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