Senior Data Engineer (Python, SQL, Snowflake, Devops, Azure/ AWS, Co-pilot, Kubernetes, Docker)

📋 Description

• Design, develop, and optimize scalable ELT/ETL pipelines using Python and SQL.
• Build real-time, near-real-time, and batch frameworks using cloud-native services.
• Implement incremental loads, CDC, SCD, schema evolution, and orchestration best practices.
• Architect and manage Snowflake environments: warehouses, databases, schemas, resource monitors
• Implement Snowflake Tasks, Streams, Pipes (Snowpipe) for event-driven data workflows.
• Optimize compute cost and query performance using clustering, micro-partitioning, caching, and

🎯 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)