
Senior Cloud Data Specialist
2 weeks ago
Are you looking for a challenging role as a data engineer where you can utilize your skills in Snowflake development to build and maintain complex data pipelines?
This job requires hands-on experience with Snowflake development, including tasks, streams, stages, file formats, time travel, and warehouse sizing. You should also have a strong understanding of SQL and basic JavaScript stored procedures.
We are seeking a skilled data engineer who can design and implement efficient data models, optimize micro-partitioning, and develop complex SQL queries using window functions, CTEs, and pivots.
- Key Responsibilities:
- Create ETL/ELT pipelines using Snowflake Tasks, Streams, and Stored Procedures
- Design and implement data models with clustering keys and optimize micro-partitioning
- Develop JavaScript/SQL stored procedures and UDFs for complex transformations
- Manage multi-cluster warehouses and implement resource monitors for cost control
- Required Skills and Qualifications:
- Hands-on Snowflake development experience
- Strong knowledge of Snowflake SQL and basic JavaScript stored procedures
- Experience with dbt core concepts (models, sources, tests, snapshots)
- Familiarity with RBAC, data types, and semi-structured data (JSON/XML)
Benefits: Work on challenging projects with opportunities for growth and professional development.
About the Role: This is a full-time position that requires a high level of expertise in Snowflake development and data engineering principles.
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