Tech Lead Data - Databricks

📋 Description

• Provide technical leadership to Data Engineering teams, supporting solution design, code reviews
• Collaborate with the Data Architect to define the technical vision, coding standards, data modeling
• Design, develop, and oversee data pipelines in Databricks using PySpark and Spark SQL across
• Establish and reinforce DataOps practices, including Git version control, CI/CD, automated unit and
• Optimize pipeline performance, including partitioning strategies, Spark tuning, cloud cost
• Ensure non-functional requirements are met, particularly regarding access control, security, and

🎯 Requirements

• Strong experience in Data Engineering projects, including previous experience providing technical
• Extensive hands-on experience with Databricks, PySpark, and Spark SQL, particularly in designing
• Deep knowledge of Delta Lake and practical experience implementing the Medallion architecture
• Solid experience with Azure data services, including Azure Databricks, Azure Data Lake Storage
• Strong SQL and Python skills, along with a solid understanding of dimensional data modeling
• Experience implementing DataOps practices, including Git, CI/CD for data pipelines, automated

🎁 Benefits

• Health and dental insurance.
• Meal and food allowances.
• Childcare assistance.
• Extended paternity leave.
• Access to gym memberships and health and wellness professionals through Wellhub (Gympass) and
• Profit Sharing and Results Participation (PLR).