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Tier-1 bank, metro location, and broad mid-level data engineering skillset create high applicant competition.
Core data engineering skills transfer broadly, but bank-specific domain knowledge and compliance raise sensitivity to background.
Mandatory Snowflake/Python/SQL plus CI/CD and banking compliance makes shortlisting highly strict.
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Build and maintain Snowflake-based data infrastructure and pipelines integrated with AWS data services to support research and client data products.
Ensure data quality, implement CI/CD practices, and operationalize deployment and monitoring of production data workflows and models.
Collaborate with IT, vendors, and business stakeholders to onboard new data sets and improve data products for BI and data science users.
Strong experience with Snowflake, SQL, and Python for data engineering tasks.
Experience in data pipelining, automation, and CI/CD practices for data platform environment management.
Familiarity with AWS big data tools such as Athena, Presto, and Spark.
Work Experience Required: Not explicitly mentioned in the JD; Role location mandatory: Mumbai.
Experienced in building and maintaining large-scale, production-grade data infrastructure with a focus on Snowflake and AWS data stack.
Capable of designing and maintaining analytical data models optimized for business intelligence and data science consumption.
Strong communicator comfortable working with multiple stakeholders in a regulated financial services environment.