Back
Tier-1 bank, mid-level data engineer role in Bengaluru attracts many qualified applicants.
Skills are transferable, but financial services data governance and residency controls increase domain specificity.
Explicit 3+ years, mandatory Python/SQL/Spark data engineering skills and regulated finance context make filters strict.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Build and maintain scalable data pipelines and feature stores supporting AI/ML products in international markets.
Implement data quality, validation, and monitoring to ensure trusted inputs for models and applications.
Apply data access, privacy, and residency controls compliant with firm-wide and cross-border regulations.
3+ years of applied experience in software or data engineering with formal training or certification.
Proficiency in Python and SQL, with hands-on experience in building and maintaining ETL/ELT data pipelines.
Familiarity with distributed data processing platforms such as Spark / Databricks and cloud-native data services.
BSc degree in Computer Science, Data Engineering, or a related quantitative field.
Experienced in productionizing data workflows for AI/ML use cases, especially in agentic AI and LLM workloads.
Comfortable contributing to design discussions and technical ownership within a senior associate engineering team.
Knowledge of financial services domain, especially wealth, private banking, or asset management, is a plus.