Senior Data Engineer

Job Description: Data Engineer/Architect – MDM, Graph & AI

Role Title: Senior/Lead Data Engineer / MDM Data & AI Architect Location: [Bengaluru]

An experienced MDM, Graph, RDF, and AI professional to design, build, and manage enterprise-scale data platforms that leverage Master Data Management (MDM), Knowledge Graphs, Semantic Technologies (RDF/OWL/SPARQL), and AI/GenAI solutions.

• Design and implement enterprise Master Data Management (MDM) solutions.
• Define and maintain data models, hierarchies, standards, and governance processes.
• Experience using Snowflake for data extraction, transformation, and migration to RDF/Knowledge Graph platforms.
• Design and develop enterprise Knowledge Graph solutions.
• Create ontologies and graph-based data models in Neo4j to represent entities, relationships, and business rules.
• Hands-on experience with RDF, SPARQL, and Semantic Web technologies.
• Strong understanding of Linked Data principles, URI design, and RDF serialization formats like JSON-LD, RDF/XML, N-Triples.
• Experience with graph databases and triple stores such as Oracle Graph, Amazon Neptune, Neo4j, or Stardog.
• Proficiency in Python for data transformation, automation, integration, and AI-enabled data processing.
• Strong Oracle SQL and PL/SQL skills, including complex query development, data profiling, and performance tuning.
• Experience with MCP (Model Context Protocol) or similar AI tool integration frameworks.
• Good understanding of Knowledge Graph and LLM integration, including RAG pipelines, entity linking, and graph embeddings.
• Design and implement AI governance, explainability, and trust frameworks.