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Visible senior Data Engineer role in Bangalore with broad Snowflake/DBT skillset increases candidate competition.
Core data engineering skills transfer across industries, though banking data/warehouse experience moderately increases domain specificity.
Explicit 10+ years requirement plus mandatory Snowflake, ETL, and data-warehouse expertise drives high shortlisting strictness.
Lead design, build, and maintenance of enterprise-scale data platforms, data lakes, and data pipelines supporting critical business functions like Regulatory Reporting and Customer 360.
Establish and optimize ETL/ELT data integration frameworks using Snowflake, DBT, and other cloud/on-premise tools to ensure data security, governance, and high performance.
Manage delivery quality including design reviews, release coordination, technical risk communication, and collaborate across global teams to meet project timelines.
10+ years experience in Data Engineering, specifically in Data Warehousing and Data Lake solutions.
Technical expertise with Snowflake and cloud platforms (AWS); proficiency with ETL tools (IBM DataStage, SSIS, BODS) and scripting (Python/Unix).
Strong SQL and data modeling skills (Logical/Physical Data Models, Dimensional, Data Vault); experience in performance tuning of data pipelines.
Mandatory location: Bangalore; Role Type: Hybrid. Work Experience Required: Explicitly 10+ years as per JD.
Experienced leader capable of managing and mentoring a data engineering team with direct responsibility for delivery and release management.
Strong background in financial industry data platforms preferred but not mandatory; comfortable working across US and India time zones.
Detail-oriented engineer who can assess architecture impact, automate processes, and apply agile engineering methods to complex enterprise data environments.