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2 days ago
Azure Databricks Engineer
About the RoleThis position involves designing and optimizing scalable data pipelines using Python and Spark in Azure Databricks. The ideal candidate will leverage Databricks workflows and Asset Bundles for efficient data orchestration, implement and manage CI/CD pipelines using GitHub for automated deployments, and apply expertise in Data Warehousing and Data Mart architecture within Databricks.
Key Responsibilities- Data Pipeline Development: Build and optimize scalable data pipelines using Python and Spark in Azure Databricks.
- Data Orchestration: Leverage Databricks workflows and Asset Bundles for efficient data orchestration.
- CI/CD Pipeline Management: Implement and manage CI/CD pipelines using GitHub for automated deployments.
- Data Architecture Expertise: Apply expertise in Data Warehousing and Data Mart architecture within Databricks.
- Python and Spark Proficiency: Strong knowledge of Python and Spark is required for this role.
- Databricks Experience: Experience working with Databricks workflows and Asset Bundles is a must.
- GitHub Skills: Familiarity with GitHub and its version control features is necessary.
- Data Architecture Knowledge: In-depth understanding of Data Warehousing and Data Mart architecture is required.
This role offers the opportunity to work on cloud-based data engineering projects and scalable architecture initiatives. The ideal candidate will demonstrate passion for data engineering and advanced cloud technologies.
About UsWe are a dynamic team seeking a talented individual to join our ranks. If you have a passion for data engineering and a desire to work on cutting-edge projects, we encourage you to apply.
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