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Tier-1 bank brand, metro location, common data-engineer title, and broad skill requirements increase applicant competition.
Data engineering skills are transferable but banking regulatory experience increases domain specificity.
Senior VP level, regulated environment, and specific data engineering skills create rigid hiring filters.
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Develop and simplify data engineering solutions including data pipelines, ETL design, and modeling focused on digital-first customer experiences.
Build advanced automation in data engineering pipelines to reduce manual processes and deliver scalable data architecture.
Engage with data engineering community to support strategic direction, source new data, and manage data platform cost targets.
Work Experience Required: Not explicitly mentioned in the JD, however role at Vice President level implies senior experience.
Must have expertise in ETL technical design, data quality testing, data sourcing, and large scale data feature extraction.
Experience with data warehousing, data modeling, and modern software development practices.
Must have experience in governed and regulatory environments; role based in Bangalore, India and requires working on normal working days in India.
Strong practical experience in programming languages and software engineering fundamentals applied to data engineering challenges.
Ability to understand complex business problems and translate them into effective reusable data solutions that drive customer value.
Experience engaging and managing a range of stakeholders with clear communication to embed new data techniques and support organizational goals.