Description

You will design and manage data pipelines within an AWS environment.

Responsibilities

• Build and maintain ETL processes to move data across systems.
• Manage data storage and retrieval using S3 and Redshift.
• Develop data workflows using AWS Glue.
• Write and optimize SQL queries for data manipulation.

Required Skills

• 5+ years of professional experience in data engineering.
• Deep expertise in AWS services.
• Proficiency in Python.
• Strong SQL skills.
• Hands-on experience with ETL processes.
• Experience managing data in S3.
• Experience with AWS Glue.
• Experience with Amazon Redshift.
• Bachelor's degree or equivalent graduate qualification.

Key Skills

Education

Any Graduate