Senior AWS Data Engineer

Description: Responsible for maintaining and developing comprehensive Data Engineering platforms using AWS Native stack. Focus on building scalable, reusable solutions for deployment across multiple countries and business environments. Requirements: Advanced Python programming expertise, particularly with pandas, OOP principles, and modern development tools. Experience with AWS technologies: Glue, Athena, DynamoDB, Step Functions, and Lambda. Strong understanding of AWS cloud architectures and agile software development methodologies. 5-10 years of data engineering experience with global or regional project exposure preferred. Familiarity with CI/CD, version control, and automated testing practices. Benefits: Opportunity to work on innovative data engineering projects. Collaborate within agile teams to deliver high-quality solutions.