Support and evolve a Lakehouse data platform on AWS based on the Medallion model (raw, trusted, and refined), with a focus on data originating from SAP systems;
Responsible for ensuring the reliability, scalability, and operational efficiency of data pipelines, driving continuous improvements in performance, security, governance, and cost optimization;
Technical leadership in the design and implementation of ingestion and processing pipelines using services such as AWS Glue, EMR, and Lambda, ensuring adherence to cloud-native architecture patterns and data engineering best practices;
Lead modernization and migration initiatives for legacy workloads to AWS, focusing on resilience, scalability, and reduced operational complexity;
Work across multiple projects with strong interaction with business, architecture, security, and operations teams, contributing to strategic alignment, requirements definition, and the evolution of the corporate data platform.

AWS: S3, Glue, Athena, EMR, Lambda, Step Functions;
Data engineering with Python and Spark;
Analytical data modeling and pipeline optimization;
Experience with legacy environments and migration strategies to AWS;
Consultative attitude, clear communication, strong ability to translate business needs, and focus on delivering value.

AWS Data Engineer – Specialist

Key skills