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

JOB Description:

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

Location: Gurgaon

Budget -18 LPA

Type: Full-Time

Experience Level: Senior Engineer (2+ 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