Senior AWS Data Engineer

• 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

• Advanced Python programming expertise, with particular strength in: o pandas for data manipulation and analysis o Object-oriented programming (OOP) principles and design patterns o Modern Python development tools and best practices

• AWS cloud technologies experience, specifically: o AWS Glue for ETL processes o Amazon Athena for data querying Information Sensitivity: General\Internal o DynamoDB for NoSQL data storage o AWS Step Functions and Lambda for workflow orchestration

• Strong understanding of cloud architectures, particularly AWS-based solutions

• Experience with agile software development methodologies and common project management tools (e.g., Azure DevOps)

• 5-10 years of data engineering experience with global or regional project exposure is nice to have

• Experience with modern software engineering practices including CI/CD, version control, and automated testing