Growth through diversity, equity, and inclusion. As an ethical business, we do what is right — including ensuring equal opportunities and fostering a safe, respectful workplace for each of us. We believe diversity fuels both personal and business growth. We're committed to building an inclusive community where all our people thrive regardless of their backgrounds, identities, or other personal characteristics.
The Senior Data Engineer for the project will be responsible for maintaining and developing a comprehensive Data Engineering platforms. This role focuses on building scalable, reusable solutions that can be deployed across multiple countries and business environments within the project framework.
• Develop and maintain the Data Engineering platforms using AWS Native stack
• Design and implement generalized modules using modern Python development practices that are reusable across various countries and business settings
• Apply object-oriented programming principles to create maintainable and scalable data processing solutions
• Collaborate effectively within agile development teams to deliver high-quality solutions on schedule
• Identify root causes of issues with existing data and suggestion generation pipelines and implement robust fixes (debugging across AWS Step Functions, Glue, Athena, and Lambda)
• Leverage modern Python development tools and engineering practices to ensure code quality, testing, and deployment efficiency