Senior Data Engineer

📋 Description

• Design and optimize scalable ELT/ETL pipelines using Python and SQL.
• Build real-time, near-real-time, and batch data frameworks.
• Implement CDC, SCD, incremental loads, schema evolution, and orchestration best practices.
• Manage Snowflake environments including warehouses, databases, schemas, RBAC, and resource monitors.
• Develop event-driven workflows using Snowflake Tasks, Streams, and Snowpipe.
• Optimize performance and cost through clustering, caching, micro-partitioning, and warehouse sizing.

🎯 Requirements

• 7+ years of professional experience in Data Engineering.
• Strong expertise in Python (pandas, asyncio, OOP, typing, packaging, pytest).
• Hands-on experience with Snowflake at enterprise scale.
• Advanced SQL skills—optimizing complex joins, window functions, CTEs, and performance tuning.
• Strong cloud background: AWS, Azure, or GCP.
• Deep understanding of data warehousing concepts: dimensional modeling, star schemas, data marts

🎁 Benefits

• Flexible working environment
• Volunteer time off
• LinkedIn Learning
• Employee-Assistance-Program (EAP)