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Mid-level Snowflake data engineer in a metro, Tier-2 employer increases competition and applicant density.
Strong Snowflake, data warehouse, and banking domain requirements limit cross-industry transferability.
Explicit 6–10 years requirement plus mandatory Snowflake and domain-specific skills make filters stringent.
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Design, build, and manage scalable data solutions on the Snowflake platform with focus on performance tuning and cost optimization.
Support data migration and integration, including migrating from RDBMS to Snowflake cloud data warehouse, ensuring secure and efficient data environments.
Mentor junior developers, handle incident management, coordinate deployments, and maintain system stability across multiple cloud environments.
6-10 years of experience as a Data Engineer or in similar roles.
Expertise in Snowflake tools including Snowflake SQL, Snowpipe, ETL pipelines, and management of Snowflake objects with performance and cost focus.
Experience migrating data from RDBMS to Snowflake cloud data warehouse and developing scalable ETL/ELT pipelines.
Domain experience in Financial Services/banking and knowledge of data quality processes and data governance.
Hands-on experience optimizing Snowflake workloads, DBT models, and implementing data sharing and event-based processing.
Familiarity with cloud platforms AWS or Azure and modern data architectures like Lakehouse and data lakes.
Comfortable in roles requiring mentoring, cross-team collaboration, incident handling, and operational coordination in complex environments.