Senior Snowflake Data Engineer

📋 Description Design, build, and maintain scalable data pipelines in Snowflake. Improve Snowflake performance and cost efficiency. Modernize Python- and stored-procedure-based pipelines. Implement Snowflake-native processing using Dynamic Tables, Streams, and Tasks. Collaborate with architects, analysts, DevOps, and clients. Deliver secure, maintainable data platforms in cloud environments. 🎯 Requirements 7+ years in data engineering with Snowflake. Advanced SQL for transformations and optimization. Strong Python for data processing and automation. Hands-on with Snowpark, Dynamic Tables, Streams, and Tasks. Experience designing scalable ELT/ETL pipelines in production. Cloud familiarity: AWS, Azure, or GCP.