- Source data from Data Lakes, APIs, and on-premises
- Transform, replicate, and share data across cloud platforms
- Design end-to-end near real-time streams
- Design scalable compute solutions for Data Engineer workloads
- Evaluate performance metrics
- Data engineering experience, including practical experience using Snowflake for
- Data Engineer tasks. In addition, successful candidates may have a working knowledge of Restful APIs, SQL, semi-structured datasets, and cloud native concepts.
- Experience in AWS platform is mandatory.
- Experience in ELT tools Fivetran, Qlik replicate, Matillion,
- Experience with DBT
- Experience creating stored procedures, UDFs in Snowflake
- Experience in Snowpark python