10+ years experience in a senior data engineering role using Python; ideally, you have delivered business-critical software to large enterprises
In-depth understanding of Snowflake's architecture, features, and capabilities.
Experience with Snowflake Data Warehouse setup, configuration, and optimization.
Proficiency in Snowflake features such as clustering, micro-partitions, Snowpipe (data ingestion), Time Travel, Zero-Copy Cloning, and external functions.
Advanced SQL skills for creating, modifying, and optimizing complex queries.
Experience with one or more cloud platforms such as AWS, Azure, or Google Cloud.
Understanding of cloud-native services, networking, storage, and cloud security.
Experience with ETL/ELT tools such as Apache Airflow, dbt (data build tool), Informatica, Talend, or Matillion.
Knowledge of data integration and transformation techniques.
Ability to integrate Snowflake with third-party tools for data ingestion, transformation, and orchestration.