Description

You will build and maintain data pipelines using Python and AWS Glue.

Responsibilities

• Develop and manage ETL processes to move data across systems.
• Build and optimize data workflows using PySpark and Hadoop.
• Maintain CI/CD pipelines for data engineering deployments.
• Manage version control and code integration using GIT and Jenkins.

Required Skills

• 5+ years of experience in Data Engineering.
• Proficiency in Python and SQL.
• Hands-on experience with AWS Glue.
• Experience building ETL pipelines.
• Knowledge of Big Data tools including PySpark and Hadoop.
• Experience with Jenkins and CI/CD workflows.
• Proficiency with GIT for version control.
• Bachelor's degree or equivalent graduate qualification.

Key Skills

Education

ANY GRADUATE