Develop and architect ETL pipelines with AWS Glue and PySpark, following AWS cloud-native best practices

Refactor and migrate existing ETL processes from Informatica to AWS Glue to enhance scalability, cost, and performance

Create and manage XML scripts to support ETL migration and data transformation

Partner with cloud infrastructure teams to guarantee secure, automated, and reliable data migration workflows

Implement AWS Well-Architected Framework guidelines focusing on security, operational excellence, reliability, and efficiency throughout migration and development

Diagnose and solve issues related to data migration, integration, and transformation

Prepare comprehensive documentation of migration workflows, data flows, and operational protocols for maintainability and knowledge sharing

Proven experience of 5+ years with AWS Glue, PySpark, and Informatica in cloud ETL projects

Extensive expertise in designing and migrating ETL pipelines within AWS environments

Advanced skills in XML scripting for ETL and data transformation purposes

In-depth knowledge of AWS cloud infrastructure, including security and operational best practices

Hands-on experience with automation, monitoring, and troubleshooting in AWS data migration scenarios

Strong familiarity with the AWS Well-Architected Framework and cloud-native development principles

English proficiency at B2 Upper-Intermediate level or higher