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Snowflake Data Warehouse Engineer

Early Applicant
  • Posted a month ago
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Job Description

  • Configure, deploy, and maintain Snowflake accounts, virtual warehouses, databases, and schemas.
  • Use Terraform to provision and manage Snowflake resources (databases, warehouses, roles, users) and associated cloud infrastructure, ensuring consistency and repeatability through Infrastructure as Code.
  • Monitor warehouse performance, query performance, and resource utilization; troubleshoot issues to ensure optimal system performance.
  • Implement and manage access controls, including role-based access control (RBAC), secure data sharing, and data governance policies to protect sensitive data.
  • Manage Snowflake releases, features, and account-level configurations; evaluate and enable new capabilities as needed.
  • Provide technical support to Snowflake users, including query troubleshooting, performance tuning, and issue resolution.
  • Optimize warehouse sizing, auto-suspend/resume settings, and query design for performance and cost efficiency.
  • Monitor and manage auto-scaling of virtual warehouses to ensure efficient resource allocation.
  • Implement and enforce security policies, including RBAC, masking policies, row-level security, and encryption mechanisms.
  • Develop and maintain backup, failover, and disaster recovery strategies using features like Time Travel and Fail-safe to ensure data integrity and availability.
  • Collaborate with data engineers to integrate Snowflake with external data sources, data lakes, and ETL/ELT pipelines.
  • Monitor and manage platform costs, including credit usage, storage costs, and optimizing workloads to control expenses.
  • Collaborate with cross-functional teams (data engineers, data scientists, analysts, and business stakeholders) to understand requirements and deliver scalable data solutions.

Must have: Snowflake Infrastructure

Good To Have: Terraform, Databricks

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About Company

Job ID: 150610157

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Etl ToolsData GovernanceData ModelingSqlSnowflake Data Warehousedata quality frameworksdata integration techniquesdatabase design principlesdata querying languages

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