Design ETL workflows and manage the migration from on-premises Informatica to AWS Glue

Create PySpark scripts for data transformation and processing tasks

Develop cloud-native migration architectures in line with AWS best practices

Work closely with infrastructure and data teams to ensure smooth migration and integration

Enhance ETL pipeline performance and cost-effectiveness using AWS Glue and PySpark

Implement AWS Well-Architected Framework principles emphasizing reliability, security, and cost control

Resolve migration challenges to maintain data accuracy and system stability

Prepare comprehensive documentation for migration processes, data flow, and operational guidelines

Automate ETL workflows to boost operational productivity

5+ years of hands-on experience migrating ETL workflows from on-premises to AWS cloud environments

Advanced skills in AWS Glue, PySpark, and Informatica

Deep understanding of cloud infrastructure, security practices, and automation

Proven experience in designing, developing, and optimizing ETL pipelines on AWS

Familiarity with AWS Well-Architected Framework and cloud-native operational standards

Strong collaboration skills working with cross-functional teams

Upper-Intermediate English (B2) for effective communication with clients