
Senior Data Specialist
1 week ago
Data Engineer
We're seeking a highly skilled data professional to drive the development and implementation of our ETL/ELT pipelines using Snowflake Tasks, Streams, and Stored Procedures.
Key Responsibilities:
- Pipeline Development: Design and implement efficient data pipelines leveraging Snowflake's capabilities for improved query performance.
- Data Modeling: Develop well-structured data models with optimized clustering keys and micro-partitioning strategies.
- Data Ingestion: Implement real-time ingestion solutions using Snowpipe and integrate with external data lakes.
- Complex Transformations: Develop custom JavaScript/SQL stored procedures and user-defined functions for complex data transformations.
- Query Optimization: Craft high-performing SQL queries with advanced features like window functions, Common Table Expressions (CTEs), and pivots.
- Warehouse Management: Manage multi-cluster warehouses and implement resource monitoring for cost-effective operations.
Requirements:
- Snowflake Experience: Hands-on experience with Snowflake development, including Snowflake SQL and basic JavaScript stored procedures.
- Task, Stream, Stage Knowledge: Working knowledge of Tasks, Streams, Stages, File Formats, Time Travel, and related concepts.
- dbt Core Concepts: Experience with dbt core concepts (models, sources, tests, snapshots) for data modeling and transformation.
- Warehouse Sizing and Query Optimization: Understanding of warehouse sizing, auto-suspend/resume, and query optimization techniques.
- RBAC, Data Types, and Semi-Structured Data: Familiarity with RBAC, data types, and semi-structured data formats like JSON/XML.
- SnowSQL CLI and Web Interface: Basic knowledge of SnowSQL CLI and Snowflake web interface for data management and analysis.
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