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

📋 Description

• Architect, build, secure, and optimize end-to-end data pipelines and data platforms
• Mentor junior engineers and lead data quality, performance, and reliability improvements
• Design scalable ELT/ETL pipelines in Python and SQL
• Build real-time, near-real-time, and batch data frameworks using cloud services
• Implement Snowflake environments and cloud engineering practices
• Oversee DevSecOps practices and CI/CD for data projects

🎯 Requirements

• 7+ years of professional Data Engineering experience
• Strong Python expertise (pandas, asyncio, typing, pytest)
• Hands-on Snowflake experience at enterprise scale
• Advanced SQL and performance tuning
• Cloud background: AWS, Azure, or GCP
• Deep understanding of data warehousing concepts, dimensional modeling, data marts

🎁 Benefits

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