Description

You will build and maintain AWS-based data pipelines and data warehouse applications.

This role is on-site.

Responsibilities

• Build AWS data pipelines using Glue, PySpark, Python, and Lambda.
• Design solutions in AWS S3 and Glue for loading, organizing, and querying data.
• Develop data warehouse applications using Glue ETL, EMR, and Redshift.
• Manage source code repositories and CI/CD processes.

Required Skills

• 8+ years of experience in Data Engineering.
• Proficiency with AWS services, including S3, Glue, EMR, and Redshift.
• Strong programming skills in Python and Lambda.
• Experience with PySpark and Glue ETL.
• Hands-on knowledge of SQL.
• Experience with CI/CD processes.
• Any Graduate education.

Key Skills

Education

Any Gradute