Senior Data Developer

📋 Description

• Design, build, and maintain ETL/ELT pipelines for a modern Data Lake
• Build PySpark workflows for large datasets
• Optimize data lake partitioning for cost and performance
• Write complex SQL (CTEs, window funcs, aggregations) and migrate workloads
• Use AWS data services (Glue, Athena, Redshift) and IaC tools
• Collaborate with analytics and product teams to deliver scalable data solutions

🎯 Requirements

• Solid experience with ETL and data pipelines on AWS
• Python expert with PySpark for distributed processing
• SQL mastery with complex queries; translate workloads from legacy RDBMS
• AWS data services: Glue, Athena, Redshift; Data Lake architectures
• IaC experience with CloudFormation, CDK, Terraform; OO and reusable libraries
• Git, Shell, Linux; observability practices; English Advanced/Fluent

🎁 Benefits

• Health and dental insurance
• Meal and food allowance
• Childcare assistance
• Extended paternity leave
• Profit Sharing and PLR
• Continuous learning platform (CI&T University)