Generative AI Data Quality Engineer
Citi (company site, opens in a new tab)2–5 yrsBengaluruOn-siteDirect career pageEst. 12–25 LPA
Posted 18d ago
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Job description
Structured overview of role & requirements
About This Role
- Own end-to-end data quality management including profiling, rule authoring, monitoring, and remediation across retail consumer banking data globally.
- Design, develop, and deploy scalable AI-powered solutions leveraging generative AI and LLM-based systems to enhance data quality lifecycle and enterprise workflows.
- Maintain metadata management and data governance including data catalog, lineage mapping, compliance with policies and data privacy regulations.
Minimum Requirements
- 2 to 5 years of hands-on experience in data quality, MIS, data management; at least 1 year in Banking Industry.
- Proficiency in Python, SQL, SAS, Teradata, Collibra, and experience with prompt engineering and building LLM-based or AI agent applications.
- Educational qualifications include MBA / Masters in Economics/Statistics/Mathematics/IT/Computer Applications/Engineering or BTech/B.E in IT/Information Systems/Computer Applications.
- Work Experience Required: 2 to 5 years with at least 1 year in banking sector explicitly mentioned.
Ideal Candidate Profile
- Practitioner combining strong software engineering skills with hands-on experience in machine learning and generative AI systems including LangChain or LangGraph frameworks.
- Experienced in data governance, audit frameworks, and data quality frameworks specifically within Banking domain (Cards, Deposits, Loans, Wealth Management, Insurance).
- Comfortable managing cross-functional collaborations and delivering measurable improvements in data quality in fast-paced, global environments.