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- Hands-on experience on Snowflake datawarehouse and snowflake Architecture
- Must have exp on configuring stages, formats and using snowpipe integrations
- Time Travel and Fail-safe Features, Data Sharing, Collaboration
- Clustering and Partitioning, Query Optimization Techniques
- External, Hybrid tables and Stages
- Data Pipeline, Tables, Views, Stored Procedures & Functions, Tasks in snowflake
- Must have knowledge on snowflake costing model, Warehouse Optimization and Cost Tracking
- Must have knowledge on setting Tags, policies, ABAC & RBAC in snowflake
- Must have exp on setting up DR, replication in snowflake
- Ability to read architecture diagrams, data models, data flows
- Experience using Azure DevOps, GitHub, Visual Studio or equivalent
- Emphasis on code quality, integration testing, performance testing and tuning
- Good to have exp on azure data factory, databricks
- Good to have exp on Python/pyscript
- Data engineering experience in any cloud provided Azure/AWS/GCP. Azure preferred.
- Development of technical system and process documentation
- Analyzing data to effectively coordinate the installation of new or the modification of existing data
- Monitoring data process performance post deployment until transitioned to operations
- Communicating key project data to team members and building cohesion among teams.
- Developing and executing project plans.
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