Master Data Developer

📋 Description

• Design, build, and maintain robust ETL/ELT for Data Lake.
• Develop distributed data pipelines with Python and PySpark.
• Optimize partitioning for Delta Lake or Apache Iceberg.
• Write/optimize SQL queries (CTEs, window functions, aggregations).
• Migrate legacy pipelines to cloud-native analytics.
• Support data governance, quality, and reusable libraries.

🎯 Requirements

• ETL/data pipeline development with AWS
• Strong Python and PySpark for distributed processing
• SQL expertise incl. complex queries (CTEs, window) and legacy migrations
• AWS Glue, Athena, Redshift experience
• Data Lake architectures and partitioning
• Git, Shell, and Linux familiarity

🎁 Benefits

• Premium Healthcare
• Meal voucher
• Maternity and Parental leaves
• Mobile services subsidy
• Sick pay-Life insurance
• CI&T University