
Enterprise Data System Developer
4 days ago
Job Title:
Data System Designer
Design, develop, and maintain large-scale data systems using Snowflake as the primary data warehousing solution.
Key Responsibilities:
- ETL Pipelines:
- Build efficient ETL pipelines using Snowflake Tasks, Streams, and Stored Procedures to extract, transform, and load data into the data warehouse.
- Data Modeling:
- Design data models with clustering keys and optimize micro-partitioning to improve query performance and reduce storage costs.
- Real-time Ingestion:
- Implement Snowpipe for real-time ingestion of external data sources and external tables for data lake integration.
- Stored Procedures:
- Develop JavaScript/SQL stored procedures and UDFs for complex transformations and aggregations.
- Complex Queries:
- Write complex SQL queries with window functions, CTEs, and pivots to analyze and report on business metrics.
- Warehouse Management:
- Manage multi-cluster warehouses and implement resource monitors for cost control and optimization.
Requirements:
- Snowflake Experience:
- Hands-on experience with Snowflake development and a strong understanding of Snowflake SQL and basic JavaScript stored procedures.
- Technical Skills:
- Working knowledge of Tasks, Streams, Stages, File Formats, Time Travel, dbt core concepts (models, sources, tests, snapshots), and semi-structured data (JSON/XML).
- Soft Skills:
- Strong analytical and problem-solving skills, ability to work independently and collaboratively in a team environment.
Benefits of This Role:
This role offers a unique opportunity to design and develop large-scale data systems, working with cutting-edge technology and collaborating with a talented team.
Why You'll Thrive in This Position:
You will have the chance to work on complex projects, develop your technical skills, and contribute to the growth and success of the organization.
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