Master Data Developer

📋 Description Design, build, and optimize scalable ETL/ELT data pipelines. Develop data lake architectures for analytics platforms. Collaborate on cloud-native data platforms using AWS. 🎯 Requirements Solid experience with ETL/data pipeline development on AWS Python proficiency with PySpark for distributed processing Thorough SQL knowledge with complex queries and migrations Hands-on AWS Glue, Athena, and Redshift Data Lake architectures and partitioning strategies Git, Shell scripts, and Linux environments 🎁 Benefits Health and dental insurance Meal and food allowance Childcare assistance Extended paternity leave CI&T University learning platform Profit Sharing and Results Participation (PLR)