
Data Engineering Specialist
4 days ago
Job Opportunity:
We are seeking a skilled professional to design and implement scalable data pipelines using Snowflake Tasks, Streams, and Stored Procedures. This individual will be responsible for developing expertise in designing data models with clustering keys and optimizing micro-partitioning to improve query performance.
Key Responsibilities:
- Design and implement real-time ingestion using Snowpipe and integrate data lakes using external tables.
- Write complex SQL queries with window functions, CTEs, and pivots to analyze and transform data.
- Manage multi-cluster warehouses and implement resource monitors for cost control.
Requirements:
- Hands-on experience in Snowflake development with strong understanding of SQL and JavaScript stored procedures.
- Working knowledge of Tasks, Streams, Stages, File Formats, Time Travel, and dbt core concepts.
- Understanding of warehouse sizing, auto-suspend/resume, and query optimization techniques.
- Familiarity with RBAC, data types, and semi-structured data (JSON/XML) is a plus.
About the Role:
This position requires a team player who is passionate about technology and committed to delivering exceptional results. The ideal candidate will have a strong understanding of data engineering principles and be able to work effectively in a fast-paced environment.
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