Data Engineer
4 days ago
JOB Description:
Job Title: Data Engineer (Knowledge Graph & Semantic Data ) – Automotive Industry
Location: Gurgaon
Budget -16 LPA
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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