We are looking for a skilled Databricks Engineer to join our team in Columbus, Ohio. In this role, you will focus on designing and optimizing data pipelines within a modern Data Lakehouse ecosystem. You will play a key part in transforming raw data into valuable insights while collaborating with cross-functional teams to enhance data accessibility and quality.<br><br>Responsibilities:<br>• Design and implement scalable data pipelines using Databricks and Delta Lake architecture.<br>• Develop and optimize data transformation processes using Python and ETL tools.<br>• Manage and integrate Azure Data Lake Gen2, Unity Catalog, and Data Factory components.<br>• Establish CI/CD practices and version control workflows using Git and GitHub.<br>• Perform data modeling and fine-tune performance for business intelligence applications.<br>• Collaborate with various teams to maintain high standards of data quality and governance.<br>• Troubleshoot and resolve issues in data workflows to ensure seamless operations.<br>• Document processes and solutions to maintain knowledge continuity and support future development.

• Bachelor's degree in Computer Science, IT, Engineering, or a related field, or equivalent experience.<br>• At least 5 years of experience in data engineering within cloud-based environments.<br>• Proficiency in Databricks and the Azure data ecosystem.<br>• Strong skills in Python programming and ETL processes.<br>• Familiarity with Data Lakehouse architecture and governance practices.<br>• Experience with CI/CD pipelines and version control systems like Git/GitHub.<br>• Excellent problem-solving abilities and effective communication skills.<br>• Ability to work collaboratively across teams to deliver data solutions.

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