Data Engineer Lead

📋 Description

• Develop and maintain scalable data pipelines in Databricks, using Unity Catalog and Delta.
• Curate Genie spaces and semantic layers, including table and column metadata, certified metric
• Maintain and refactor existing Git/GitHub repositories, developing modular and reusable data
• Implement CI/CD workflows for Databricks solutions, including promotion from development to
• Model marketing performance data including email events, campaign and promotion history, offers
• Build point-in-time audience histories and connect marketing sends with downstream sales outcomes.

🎯 Requirements

• 5+ years of experience in Data Engineering or similar roles.
• Hands-on experience developing data pipelines in Databricks, including Unity Catalog and Delta.
• Strong hands-on experience with Python for data processing and transformation.
• Strong SQL skills, including the ability to understand and translate complex existing SQL logic.
• Experience with Git-based development and CI/CD, preferably using Databricks Asset Bundles or an
• Experience with Azure and promoting data solutions across development and controlled UAT

🎁 Benefits

• Certifications in AWS (we are AWS Partners), Databricks, and Snowflake.
• Access to AI learning paths to stay up to date with the latest technologies.
• Study plans, courses, and additional certifications tailored to your role.
• Access to Udemy Business, offering thousands of courses to boost your technical and soft skills.
• English lessons to support your professional communication.
• Travel opportunities to attend industry conferences and meet clients.