AWS Data Engineer — Cloud ETL & Data Lakes | Flexible Hours
Summary
Design and implement cloud-based data architectures on AWS: build scalable ETL/ELT pipelines and manage data lakes and warehouses using Glue, S3, Redshift, DynamoDB and Athena. Collaborates with analysts, scientists and DevOps across international teams and contributes to data governance, in a hybrid model.
Making Science is seeking a data engineer to design and implement cloud-based data architectures on AWS, building scalable ETL/ELT pipelines and managing data lakes and warehouses. You will collaborate with analysts, scientists, and DevOps across international teams, contributing to data governance and security.
The role offers a hybrid work model with opportunities for growth and hands-on training. You will leverage AWS Glue, S3, Redshift, DynamoDB, and Athena, while advancing data modeling,