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Popular data engineer role in Bengaluru with specific banking and tech requirements yields moderate applicant competition.
Requires strong banking and regulatory reporting experience, so candidates from other industries fit poorly.
Explicit 8+ years, banking/regulatory domain, and specific tech stack make filters highly stringent.
Lead enterprise-wide data engineering, analytics, and regulatory data initiatives within Banking and Financial Services domain.
Design, develop, and maintain scalable data warehouses, data lakes, ETL/ELT pipelines, and BI/reporting solutions supporting lending, risk, securities, payments, treasury, and customer data management.
Drive data quality, governance, stakeholder engagement, production support, and operational excellence for critical banking data platforms including regulatory reporting compliance.
8+ years experience in Data Engineering and Data Warehouse environments.
Strong hands-on skills in Oracle, SQL, PL/SQL, ODI, SAP BODS, Python, Dataiku, Snowflake, and ETL/ELT development.
Experience supporting Risk & Regulatory Reporting platforms in the Banking and Financial Services domain.
Work Experience Required: 8+ years; notice period: Not explicitly mentioned in the JD.
Experienced in data strategy and platform management for complex banking environments covering Lending, Risk, Securities, Treasury, Payments, and Customer Data.
Proven ability to manage production support and lead incident/problem resolution in enterprise data platforms.
Capable of working with global stakeholders across Business, Risk, Finance, and Technology; experience leading offshore/onshore teams is desirable.