Build and optimize scalable data pipelines using Python and Spark in Azure DatabricksLeverage Databricks workflows and Asset Bundles for efficient data orchestrationImplement and manage CI / CD pipelines using GitHub for automated deploymentsApply expertise in Data Warehousing and Data Mart architecture within DatabricksEnsure high-performance data processing and solution deliveryCollaborate on cloud-based data engineering projects and scalable architecture initiativesFocus on delivering robust and maintainable solutions using best practices in DatabricksDemonstrate passion for data engineering and advanced cloud technologiesSkills Required
Python, Spark, Databricks, Github, Data Warehousing