- 6.5-10 years of progressive experience in data engineering, with at least 4+ years focused on Snowflake(at least 4+ yrs) and Python-based ETL development
- Expert-level proficiency in Snowflake, including advanced features (Snowpipe,snowpark, streams, tasks, energetic tables), performance tuning, resource optimization, query profiling, and data sharing capabilities
- Advanced Python programming skills with demonstrated ability to build robust, production-grade ETL frameworks, implement design patterns, and develop reusable libraries
- Proven track record of architecting and deploying enterprise-scale ETL pipelines processing terabytes of data with high reliability and performance
- Deep expertise in SQL optimization,
including complex window functions, recursive CTEs, and execution plan analysis
- Strong experience with version control (Git), CI/CD pipelines for data workflows, and infrastructure-as-code practices
- Comprehensive understanding of data modeling methodologies (dimensional modeling, Data Vault, star/snowflake schemas) and when to apply each approach
- Experience mentoring developers and leading technical initiatives