Data Engineer (40038)

As a Senior Data Engineer, you'll build robust data pipelines and scalable architectures on AWS. You'll design data lakes and warehouses while ensuring security and performance. Your Python expertise and knowledge of ETL processes will support complex analytics and ML use cases. Familiarity with tools like Glue, Athena, and Lake Formation is essential. Looking for a high-impact project? Let’s connect.

🚀 Project
- build and maintain data architectures and pipelines for reliable and consistent data transfer
- design and implement data warehouses and data lakes with appropriate security and scalability
- develop data processing and analysis algorithms for large and complex datasets
- collaborate with data scientists to support machine learning model development and deployment

🎯 Skills
- experience with AWS services (S3, Glue, Athena, Lake Formation, CloudFormation)
- advanced Python skills for data engineering and automation
- knowledge of ETL frameworks and data transformation/quality tools
- ENG C1

💡 Nice to have
- AWS Data Engineer certification
- experience in banking or financial services
- knowledge of IAM and permission management in AWS
- experience with Databricks, Snowflake, Starburst or Iceberg