Must have: Snowflake (Hands-on Expert): Warehouses, Databases, Schemas, Roles & Grants (RBAC) Stages (internal/external), File Formats, COPY INTO, Snowpipe, Streams & Tasks Time Travel, Cloning, Zero-Copy Clones, Fail-safe awareness Query tuning (clustering keys, micro-partitions, caching, pruning) Secure data sharing, masking policies, tags, governance features BCR, DR, Storage integration and Parameters Materialized / Semantic Views, Dynamic Tables, Stream Lit, Snowflake Architecture SQL Mastery: Strong, production-grade SQL for large-scale transformations. Role Summary: We are seeking a hands-on Snowflake Data Engineer to design, build, optimize, and productionize data pipelines and data products on Snowflake for enterprise analytics use cases.