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Metro Bangalore and broad senior data engineering role increase competition, though 15+ years requirement reduces candidate pool.
Requires regulated banking data platform experience, making background moderately industry-specific and less fully transferable.
Mandatory 15+ years, specific cloud, ETL, data warehouse and regulated-financial experience creates high shortlisting strictness.
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Lead and manage data engineering functions including building and maintaining enterprise data platforms such as Data Warehouses, Data Lakes, and Cloud Data Platforms ensuring data access, security, privacy, and governance.
Drive operational excellence by collaborating with cross-functional and global teams, managing multiple projects, automating processes, and improving data flows to meet timely business objectives.
Mentor and motivate a team of Data Engineering associates, manage deliverables, perform design reviews, and coordinate release and vendor management activities.
15+ years of experience in Data Engineering and Analytics.
Proficient in large-scale Data Warehousing technologies such as Oracle, Netezza, Teradata, SQL Server, and cloud platforms like AWS and Snowflake.
Experience with ETL and data integration tools including SAP BODS, Informatica IICS, IBM Data Stage, Python ETL tools such as DBT, Qlik Replicate, and AWS services.
Work Experience Required: 15+ years; Notice Period: Not explicitly mentioned in the JD.
Experienced data engineering leader skilled in managing end-to-end data platform development and operations in a regulated financial industry environment.
Strong stakeholder management and collaboration skills working with global teams across time zones, able to deliver business value quickly using agile practices.
Technically proficient with deep understanding of data modeling (Relational, Dimensional, Data Vault), data quality, performance tuning, and data governance.