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