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)

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