Mid Data Developer ( Azure + Databricks )

📋 Description

• Design, develop, maintain, and optimize robust ETL/ELT data pipelines, applying best practices for
• Develop scalable data processing workflows using Apache Spark, PySpark, and Databricks, applying
• Structure, organize, and manage data using SQL Server and Delta Lake, contributing to reliable and
• Apply DevOps practices across data engineering workflows, including Git-based version control
• Investigate production incidents, identify root causes, implement corrective actions, and
• Contribute to data platform modernization initiatives, supporting the development of scalable

🎯 Requirements

• Proven experience in data engineering, with hands-on experience developing and maintaining data
• Experience working in production environments, including monitoring, troubleshooting, incident
• Experience handling large volumes of data and developing scalable processing solutions capable of
• Experience participating in data migration, modernization, or data lake development projects, with
• Strong experience with cloud-based data environments, particularly Azure, and practical knowledge
• Proficiency with Apache Spark and PySpark, including experience with data transformation

🎁 Benefits

• Health insurance and dental insurance.
• Food and meal allowance.
• Childcare assistance.
• Extended parental leave.
• Access to Wellhub (Gympass) and TotalPass, with partnerships supporting fitness, health, and
• Profit Sharing and Results (PLR).