Description

You will build and manage scalable ETL pipelines and lead large-scale cloud migration efforts within an AWS environment.

This role is hybrid.

Responsibilities

• Develop and maintain scalable ETL pipelines within the AWS ecosystem.
• Conduct ETL testing to ensure data integrity, accuracy, and performance.
• Lead and support large-scale cloud migration efforts and data transitions.
• Use Python to develop custom scripts and automate data processes.
• Monitor, troubleshoot, and optimize data workflows for reliability.

Required Skills

• 5-10+ years of experience in Data Engineering.
• Hands-on experience with AWS services including S3, Redshift, Glue, and Lambda.
• Advanced Python skills for data processing and automation.
• Expertise in ETL methodologies and testing.
• Proven experience with cloud migration strategies and best practices.
• Strong proficiency in data processing and ETL pipeline development.
• Ability to troubleshoot and resolve complex data issues.

Key Skills

Education

Any Graduate