Snowflake Platform Intelligence Engineer
Tasks
- Automate Snowflake provisioning and scaling
- Build AI-driven data products
- Configure data federation
- Create materialized views
- Design and deploy Snowflake warehouses
- Enforce security with RBAC and masking
- Implement Cortex AI capabilities
- Implement cost governance with usage tracking
- Implement external tables and functions
- Implement vector search and embeddings
- Integrate Snowflake with Databricks
- Integrate Snowflake with Salesforce HCM
- Integrate Snowflake with dbt and SQL Server
- Manage Snowflake secrets and governance
- Optimize query performance with tuning
- Set up cross account data sharing
- Use private connectivity with AWS PrivateLink
Perks/Benefits
- N/A
Skills/Tech-stack
AWS PrivateLink | Cortex AI | DBT | Data masking | Databricks | Dynamic data | Dynamic data masking | External tables | GitHub Actions | Materialized views | Power BI | Query Optimization | Query acceleration | Query profiling | RBAC | SQL | SQL Server | Salesforce HCM | Sigma | Snowflake | Snowgrid | Snowpark | Terraform | Vector Search | Vector embeddings
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Regions
Countries
States
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