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Metro Bangalore, popular Data Engineer role with broad Snowflake/ETL skillset and known banking brand increases competition.
Requires deep enterprise data warehouse, ETL, and financial/regulatory experience making cross-industry transfers difficult.
Explicit 15+ years Principal-level requirement plus many mandatory data platform, ETL, and cloud skills creates strict filters.
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Develop and maintain large-scale data platforms including enterprise data warehouses, data marts, and operational data stores with focus on data access, security, privacy, and governance.
Lead data engineering efforts using agile practices, collaborating with architects and modelers to enhance platform design and manage technical debt.
Manage team deliverables, conduct design reviews, drive automation, optimize processes, ensure compliance with governance policies, and coordinate release management across global teams.
15+ years experience designing and building data warehouses and data lakes using technologies like Oracle, Netezza, Teradata, SQL Server.
Expertise in ETL/ELT data pipeline creation and maintenance with tools such as SAP BODS, Informatica IICS, IBM Data Stage, DBT, Qlik Replicate, AWS Glue, or Snowpark.
Strong knowledge of data modeling (relational, dimensional, data vault), SQL, stored procedures, and data pipeline performance tuning.
Work Experience Required: 15+ years in data engineering focused roles; Location: Bangalore; Role Type: Hybrid.
Experienced in financial industry data platforms or similar highly regulated, large-scale enterprise environments.
Demonstrates strong leadership in technical strategy and stakeholder influence, working with senior leaders and cross-functional teams.
Operates effectively in global, multi-time zone teams primarily interfacing with US technology groups, emphasizing technical excellence and compliance.