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Senior, Snowflake-specialist role in Bangalore with hybrid location and niche platform skills yields moderate competition.
Snowflake, AWS and data engineering skills are transferable, but financial reporting and governance increase domain specificity.
Explicit 10+ years plus mandatory Snowflake, cloud, ETL, SQL, Python, and data modeling requirements make filters strict.
Lead design, development, and maintenance of large-scale data platforms including data lakes and cloud solutions, primarily on Snowflake.
Build, optimize, and secure enterprise data pipelines integrating data for critical banking functions like Regulatory Reporting, Finance, Risk, and Customer 360.
Manage data governance, quality assurance, and production incident support while coordinating global cross-time zone delivery and agile practices.
10+ years experience in Data Engineering focused on Data Warehouse and Data Lake design and implementation.
Strong expertise with Snowflake data platform and AWS cloud services (S3, Lambda, Glue, Step Function, CloudWatch).
Proven skills in ETL/ELT tools like DBT, Qlik Replicate, Snowpark; plus SQL, Unix, Python scripting.
Work Experience Required: 10+ years in relevant roles; Location: Bangalore; Role Type: Hybrid.
Experienced leader managing data engineering teams and driving cross-functional collaboration with senior stakeholders and Product Owners.
Deep technical proficiency in scalable data architecture, security (RBAC), data modeling (Relational, Dimensional, Data Vault), and performance tuning for enterprise environments.
Comfortable operating within financial services domain and global teams across US and India time zones, supporting production and incident management.