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Tier-1 brand, metro Bengaluru, broad mid-level data engineer role with an open 0–7 years range.
Core data engineering skills are transferable, but RAG/knowledge-graph and finance context increase domain specificity.
Explicit 0–7 years and required Python/SQL, ETL and Spark exposure create moderate shortlisting filters.
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Build and maintain scalable backend data pipelines and ETL/ELT workflows to ingest, transform, and serve data for enterprise AI applications.
Contribute to creation and management of knowledge assets including data modeling, ontology creation, metadata tagging, and semantic enrichment to support GenAI use cases.
Support integration of MCP server and AI data enablement tasks, ensuring data quality, performance, and reliability in batch and near-real-time environments.
Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or related field.
0–7 years of experience in data engineering, software engineering, or related technical role.
Proficiency in Python and SQL and/or Java programming languages.
Basic understanding of ETL/ELT pipelines, data integration, and data transformation concepts.
Experience or strong interest in AI-powered data systems and working with enterprise-scale big data platforms (e.g., Spark, Databricks).
Familiarity with knowledge graph, vector databases, semantic search, or Retrieval-Augmented Generation (RAG) concepts is advantageous.
Comfortable working under guidance while actively participating in engineering discussions, code reviews, and sprint workflows in a collaborative environment.