- 4–8 years of experience in data engineering / data warehousing
- Robust proficiency in SQL:
- Complex joins, window functions, CTEs, subqueries
- Performance tuning and query optimization
- Hands-on experience in Snowflake development, including:
- Data loading (COPY INTO, Snowpipe)
- Streams, Tasks, Time Travel
- Stored procedures & UDFs
- Experience in data warehousing concepts and ETL/ELT pipelines
- Exposure to cloud platforms (AWS / Azure / GCP)
- Experience with data integration tools (e.g., Informatica, ADF, DBT, or similar)
- Strong understanding of data validation and reconciliation techniques