Snowflake Data Engineer

As a Data Engineer with hands-on experience on Snowflake data warehouse and Snowflake Architecture, your key responsibilities will include: - Configuring stages, formats, and utilizing Snowpipe integrations - Understanding Time Travel and Fail-safe Features, Data Sharing, Collaboration in Snowflake - Implementing Clustering and Partitioning, as well as Query Optimization Techniques - Working with External and Hybrid tables and Stages in Snowflake - Developing Data Pipelines, Tables, Views, Stored Procedures & Functions, Tasks in Snowflake - Familiarity with Snowflake costing model, Warehouse Optimization, and Cost Tracking - Setting up Tags, policies, ABAC & RBAC in Snowflake - Experience in setting up Disaster Recovery and replication in Snowflake - Ability to interpret architecture diagrams, data models, and data flows - Proficiency in utilizing Azure DevOps, GitHub, Visual Studio or equivalent tools - Prioritizing code quality, integration testing, performance testing, and tuning - Good to have experience in Azure Data Factory, Databricks - Good to have experience in Python/pyscript - Data engineering experience in any cloud platform such as Azure/AWS/GCP, with preference for Azure - Developing technical system and process documentation - Analyzing data to coordinate the installation of new or modified data effectively - Monitoring data process performance post deployment until transitioned to operations - Communicating key project data to team members and fostering cohesion among teams - Developing and executing project plans Additionally, you will be required to have the ability to read and interpret architecture diagrams, data models, and data flows effectively.,