Senior Data & Knowledge Graph Engineer
- Posted
- Employment
- full time
- Work mode
- unknown
Skills explicitly mentioned: Snowflake, Python, Oracle SQL
Senior Data & Knowledge Graph Engineer
JD: Senior Data Engineer – Knowledge Graph & RDF Engineer Role Summary: Senior Data and Knowledge Graph Engineer with expertise in RDF, SPARQL, ontology development, and graph database technologies to design and implement enterprise-scale semantic data solutions. Experience: 5–8 Years (4+ Years in RDF / Knowledge Graph) Grade : G2/G3 Skills: Design, develop, and maintain enterprise knowledge graph solutions using RDF and semantic web technologies. Create and manage ontologies, taxonomies, vocabularies, and semantic models aligned with business requirements. Design and implement Oracle-to-RDF migration strategies and data transformation pipelines. 4+ years of hands-on experience with RDF, SPARQL, and semantic web technologies. Proficiency in Python for data transformation, automation, and integration. Strong Oracle SQL skills — complex queries, PL/SQL, data profiling, and performance tuning. Experience with at least one graph databases/triple stores such as Oracle Graph , Amazon Neptune, or Stardog. Understanding of Linked Data principles, URI design, and RDF serialisation formats (Turtle, JSON-LD, RDF/XML, N-Triples). Experience working with Snowflake as a source system for data extraction, transformation, and migration to RDF/Knowledge Graph platforms. Good understanding of LLM integration with knowledge graphs (RAG pipelines, entity linking, graph embeddings).
Official Taleo metadata: primary skills Snowflake^Python^Oracle SQL; primary location Bengaluru SA; other locations Pune; employment Permanent; posted Jul 29, 2026, 9:30:00 AM.