Senior Data Engineer
CSC (company site, opens in a new tab)BengaluruOn-siteDirect career pageEst. 25–40 LPA
Posted on 28 Sept
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Job description
Structured overview of role & requirements
About This Role
- Own the design, build, governance, and operational readiness of AI data engineering pipelines and data products to support AI-enabled products ensuring trusted, permissioned, explainable, and reusable data.
- Define and deliver governed data products across multiple domains with ownership, SLAs, and quality controls, while partnering with data stewards and cross-functional teams.
- Implement data quality, metadata, security/privacy controls, and monitor AI data lifecycle operations to ensure pipeline reliability, freshness, and compliance with regulatory requirements.
Minimum Requirements
- Work Experience Required: Not explicitly mentioned in the JD
- Strong expertise in data engineering including pipeline engineering, orchestration (ETL/ELT, API/event integration), data product development, quality rule design, metadata/cataloging, access control, and cloud data platforms.
- Experience or knowledge in AI data engineering concepts such as RAG data preparation, document ingestion, chunking, embeddings, vector stores, semantic retrieval, and AI data observability.
- Location Requirements: Hybrid work mode based in Bangalore; Shift timing: 11:00 AM - 8:00 PM.
Ideal Candidate Profile
- Experienced in translating AI product and business needs into scalable, governed data engineering solutions with emphasis on trust, security, and reusability.
- Able to navigate complex collaboration across product, AI, architecture, security, risk, and governance functions with strong data stewardship mindset.
- Skilled at solving problems with incomplete or conflicting data and making strategic decisions on centralization vs federation vs reuse of data capabilities.