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Generalist data title, Bangalore metro location, and moderate employer brand create medium applicant competition.
Requires deep banking, regulatory reporting, and lending/risk domain knowledge, so background fit sensitivity is high.
Explicit 8+ years plus mandatory BFSI domain expertise and specific tools (Snowflake, MicroStrategy, Oracle) makes filters strict.
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Lead design, development, and enhancement of enterprise data warehouse, data lake, and scalable ETL/ELT pipelines for banking platforms.
Drive data strategy, governance, and quality assurance while managing complex regulatory, risk, lending, securities, and treasury data domains.
Develop and support business intelligence reporting frameworks, dashboards, and executive KPIs to enable decision-making and regulatory compliance.
8+ years experience in Data Engineering, Data Analytics, Data Warehousing, and BI Reporting within Banking and Financial Services.
Mandatory skills include Oracle Database, SQL/PLSQL, Python, DataIKU, MicroStrategy, ODI, ETL/ELT, Snowflake, and Unix/Linux environment.
Strong functional knowledge of Lending, Risk, Securities, Tax, Payments, Treasury, Customer Data Management, and Regulatory Reporting.
Work Experience Required: 8+ years in relevant domain and technologies. Notice period: Not explicitly mentioned in the JD.
Experienced in leading global teams and managing stakeholder engagements in complex financial services environments.
Proficient in translating business requirements into actionable data and reporting solutions with a focus on operational and regulatory compliance.
Strong background in managing enterprise data platforms with emphasis on data quality, reconciliation, lineage, and governance in banking contexts.