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Senior Data Engineer
Job Summary
A company is looking for a Senior Data Engineer.
Key Responsibilities:
- Architect Microsoft Azure/Databricks/Off the shelf tools for DMP to meet current and future needs
- Serve as Technical Lead to coordinate and guide Platform, Ingestion, DQ and Ops & Support teams
- Refine Ingestion process and enable self-service capabilities for Data Producer
Required Qualifications:
- Python, SQL Server, Databricks Unity catalog, Databricks API, PySpark, Stored procedures, Azure Data Factory, Databricks, Terraform module, Terraform, Azure DevOps, GitHub, T-SQL, Synk, DataDog, Azure Data Lake Storage, Azure Service Bus, Azure Event Grid, Azure App Insights, Azure Kubernetes Service, GitHub actions, and Azure Cosmos DB
- Ability to provide technical guidance on technologies and architecture challenges
- Implemented Domain driven Data Architecture for other organizations
- Familiar with Data mesh and federating data consumption from source
- Certified in Databricks and abreast with features of Databricks (Databricks CLI, Asset Bundles, Terraform module, API)
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