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DE&A - AIML - Graph DB Data Engineer

fa-etvl-saasfaprod1

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What graph roles keep asking for: Python (35%), System design (35%), Observability (27%), BigQuery (23%), Data modelling (23%), Databricks (19%), Java (19%), AWS (15%) — counted across their open postings here.

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Questions you are likely to be asked

  1. Why do you want to join fa-etvl-saasfaprod1?
  2. What is your experience with Data modelling? Tell me one thing you learned the hard way.
  3. Tell me about a time the data was messy or wrong. What did you do?
  4. How would you explain your model's result to someone who is not technical?
  5. What would you check first if a model's accuracy dropped after going live?

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Role Summary 5+ Years of Exp in Design and implement ontology models, entity relationships, graph structures, and semantic enrichment pipelines for BFSI context engineering use cases. Key Responsibilities Design BFSI ontology and graph schema Build entity and relationship extraction pipelines Implement graph ingestion and transformation logic Develop graph traversal and query patterns Support GraphRAG implementation Optimize graph performance and semantic accuracy Collaborate with AI engineers for retrieval integration Required Skills Neo4j and Cypher Python data engineering Graph data modeling Metadata and lineage concepts SQL and data transformation Entity relationship modeling Good to Have RDF/OWL/SPARQL NetworkX Graph analytics BFSI domain exposure Semantic web concepts BE

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Listed on oraclehcm · posted 2026-07-28. ApplySarthi collects openings and links to application pages; the role is advertised by fa-etvl-saasfaprod1, not by us.