Engenheiro de Dados Sênior

📋 Description

• Develop, maintain, and optimize ETL/ELT data pipelines in Azure using Databricks for large-scale
• Design and optimize data models to ensure scalability, performance, consistency, and governance.
• Apply a 360-degree perspective to technical decisions and understand broader impacts.
• Implement CI/CD practices to automate deployments using GitHub.
• Support cloud migration initiatives, ensuring data security, quality, integrity, and continuity.
• Collaborate with business and data science teams to deploy AI/ML models in cloud environments.

🎯 Requirements

• Strong experience with Azure Data Services and Databricks.
• Hands-on use of Databricks with PySpark for large-scale processing.
• Experience with Medallion Architecture and modern data-platform patterns.
• Proven MLOps and productionizing ML models in Databricks.
• Strong proficiency in Python and SQL for data manipulation and workflows.
• Experience implementing CI/CD practices and versioning with GitHub.

🎁 Benefits

• Health and dental insurance.
• Meal and food allowances.
• Childcare assistance.
• Extended parental leave.
• Wellness benefits through Wellhub/Gympass and TotalPass.
• Profit Sharing and Results Participation (PLR).