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Tier-1 brand, mid-level generalist data role in Bangalore with broad skill requirements increases competition.
Core ETL and Python skills transfer across sectors, but banking-specific controls and risk data needs limit portability.
Explicit 3+ years requirement and mandatory ETL, Python, and enterprise ETL tooling enforce strict shortlisting.
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Develop and maintain ETL/ELT data pipelines for ingestion, transformation, validation, and publishing of client and vendor data supporting risk analytics and reporting.
Ensure production reliability through monitoring, alerting, incident triage, and support continuous improvement in controls and automation.
Collaborate with product managers and engineering teams to modernize data movements and support migration from legacy to target-state architectures while complying with regulatory requirements.
3+ years total experience in data integration, data engineering, or analytics engineering, including 1+ years in production data pipeline development and operation.
Hands-on experience with ETL/ELT tools like Pervasive (Actian DataConnect) or equivalent, and Python development.
Bachelor’s degree in Computer Science, Engineering, Information Systems, Mathematics, or related field.
Primary work location Bangalore; must be open to night shifts and periodic evening overlap to support EMEA/NA stakeholders.
Experience in production-grade batch and event-driven ETL/ELT pipeline development with a focus on data quality, reconciliation, and control aligned to financial regulatory standards.
Familiarity with risk data environments, including publishing into Snowflake or similar data marts, and operating within enterprise SDLC and governance frameworks.
Ability to independently deliver assigned tasks within Agile teams, participate in production support, and collaborate across global teams including senior stakeholders and external vendors.