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Metro Bangalore, popular Data Engineer role, broad tech stack, and reputable employer increase candidate competition.
Core data engineering skills are transferable across industries, though banking data-warehouse experience increases domain specificity.
Explicit 10+ years requirement, domain expertise and specific Snowflake/DBT skills create strict shortlisting.
Design, build, and maintain enterprise data platforms, data lakes, and scalable data pipelines for data warehouse and operational data stores.
Lead and manage a team of data engineers, oversee deliverables, design reviews, release coordination, and timeline estimation for data projects.
Ensure data security, governance, performance optimization, automation, and timely cross-timezone delivery of data engineering solutions.
10+ years experience in designing and building Data Warehouses and Data Lakes.
Proficiency in data platforms including Snowflake, Oracle, Netezza, Teradata, SQL Server and ETL tools like IBM Data Stage, SSIS, or BODS.
Experience with SQL, performance tuning, data modeling (relational, dimensional, Data Vault), and scheduling tools such as Control-M.
Work Experience Required: 10+ years in relevant data engineering roles; Location Requirement: Bangalore; Role Type: Hybrid.
Senior data engineer with strong expertise in enterprise data platform architecture and development, comfortable managing teams and coordinating complex projects.
Experienced in cloud and on-premise data warehouse technologies with a strong SQL and scripting background (Python/Unix).
Skilled in agility-driven delivery across multiple time zones, particularly collaborating with US-based global teams.