Snowflake Developer

Nforce One LLC
Quincy, MA, United States
19 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Working hours
Regular working hours
Job source

Tech stack

Amazon Web Services Microsoft Azure Cloud Computing Cloud Database Extract Transform Load (ETL) Data Masking Data Sharing Python (Programming Language) Performance Tuning Role-Based Access Control Workflow Management Systems Freeform SQL
+4 more
Google Cloud Sql Optimization Snowflake Data Pipelines

Job description

  • 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.

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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