Design and implement ETL pipelines using AWS Glue and PySpark, ensuring alignment with AWS cloud-native best practices

Migrate and refactor existing ETL workflows from Informatica to AWS Glue, optimizing for performance, scalability, and cost-efficiency

Develop and maintain XML scripts for ETL migration and data transformation tasks

Collaborate with cloud infrastructure teams to ensure secure, reliable, and automated data migration processes

Apply AWS Well-Architected Framework principles to all migration and development activities, focusing on operational excellence, security, reliability, performance efficiency, and cost optimization

Troubleshoot and resolve issues related to data migration, transformation, and integration

Document migration processes, data flows, and operational procedures to ensure knowledge transfer and maintainability

3+ years experience with AWS Glue, PySpark, and Informatica

Strong experience designing and migrating ETL pipelines in cloud environments

Proficiency in XML scripting for ETL and data transformation

Deep understanding of AWS cloud infrastructure, security, and operational best practices

Experience with automation, monitoring, and troubleshooting in AWS data migration projects

Familiarity with the AWS Well-Architected Framework and cloud-native development standards

English proficiency at B2 Upper-Intermediate level or higher