AWS Data/ETL Engineer

About the role

We are looking for an experienced AWS Data/ETL Engineer to design, build, and maintain robust data pipelines. The role focuses on delivering high‑quality, reliable data flows that support business intelligence and analytics initiatives.

Key responsibilities

• Design and implement ETL processes using AWS Glue.
• Develop and optimise data workflows with Python and PySpark.
• Collaborate with cross‑functional teams to gather data requirements and deliver solutions.
• Ensure data quality, governance, and integrity throughout the pipeline.
• Monitor, troubleshoot, and resolve pipeline issues to maintain high availability.

Required profile

• Proven experience in building data pipelines on AWS.
• Strong background with AWS Glue, Python, Snowflake, and PySpark.
• Ability to work independently and as part of a multidisciplinary team.

Required skills

• AWS Glue
• Python
• Snowflake
• PySpark