Snowflake Developer
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Role details
Tech stack
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Job description
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Data Modeling & Architecture: Build schemas, tables, dynamic tables, and views tailored for business analytics.
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Pipeline Development: Create robust ELT/ETL workflows using tools like dbt, Fivetran, or Snowpark.
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Performance Tuning: Optimize complex SQL queries, micro-partitioning, clustering keys, and virtual warehouse sizes.
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Security & Governance: Implement role-based access control (RBAC), data masking, and row-level security.
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Migration & Integration: Connect legacy or cloud databases into Snowflake and migrate historical data.
Requirements
| Technical Stack: Advanced SQL | SnowSQL | Python/Snowpark | and orchestration tools. |
| Platform Knowledge: Mastery of Snowflake features like data sharing | zero-copy cloning | and streams/tasks. |
Cloud & ETL: Experience with AWS/Azure/Google Cloud Platform environments and modern data stack tools.
Certifications: SnowPro Core or Advanced certifications are heavily preferred.
| Key Responsibilities:Data Modeling & Architecture: Build schemas | tables | dynamic tables | and views tailored for business analytics. |
| Pipeline Development: Create robust ELT/ETL workflows using tools like dbt | Fivetran | or Snowpark. |
| Performance Tuning: Optimize complex SQL queries | micro-partitioning | clustering keys | and virtual warehouse sizes. |
| Security & Governance: Implement role-based access control (RBAC) | data masking | and row-level security. |
Migration & Integration: Connect legacy or cloud databases into Snowflake and migrate historical data.
Required Skills:
-
Technical Stack: Advanced SQL, SnowSQL, Python/Snowpark, and orchestration tools.
-
Platform Knowledge: Mastery of Snowflake features like data sharing, zero-copy cloning, and streams/tasks.
-
Cloud & ETL: Experience with AWS/Azure/Google Cloud Platform environments and modern data stack tools.
-
Certifications: SnowPro Core or Advanced certifications are heavily preferred.
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Prepare application
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