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2 days ago
We're looking for a skilled data engineer to design and implement data pipelines using Snowflake Tasks, Streams, and Stored Procedures.
- Design and build ETL/ELT pipelines using Snowflake Tasks, Streams, and Stored Procedures to efficiently manage and process large datasets.
- Develop data models with clustering keys and optimize micro-partitioning to improve query performance and reduce storage costs.
- Implement real-time ingestion and external tables for data lake integration to ensure seamless data flow.
- Develop JavaScript/SQL stored procedures and UDFs for complex transformations using window functions, CTEs, and pivots.
- Write complex SQL queries to optimize query performance and manage multi-cluster warehouses to control costs.
Requirements:
- A strong understanding of Snowflake development and a solid grasp of Snowflake SQL and basic JavaScript stored procedures.
- Working knowledge of Tasks, Streams, Stages, File Formats, Time Travel, and RBAC.
- Experience with dbt core concepts (models, sources, tests, snapshots) and warehouse sizing, auto-suspend/resume, and query optimization.
- Familiarity with semi-structured data (JSON/XML) and the SnowSQL CLI and Snowflake web interface.
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