Data Engineer - Knowledge Graph

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.