AWS Data Platform Engineer

📋 Description

• Design, build, and manage cloud data platforms on AWS using services such as AWS Glue, EMR, Lake
• Develop, maintain, and optimize data pipelines using Python, PySpark, and advanced SQL.
• Implement open table formats, including Apache Hudi or Apache Iceberg, to support modern data
• Automate infrastructure provisioning and deployment processes using Terraform and
• Implement data validation, cleansing, security, governance, and monitoring mechanisms to maintain
• Monitor and optimize data platform performance, scalability, and resource utilization.

🎯 Requirements

• Demonstrated hands-on experience designing and developing data platforms using AWS services
• Strong programming skills in Python and practical experience developing production-grade data
• Advanced SQL skills and experience building and optimizing complex data pipelines.
• Experience using Apache Spark and PySpark for distributed data processing.
• Hands-on experience implementing Apache Hudi or Apache Iceberg in data platforms.
• Practical knowledge of Terraform and infrastructure-as-code principles for cloud infrastructure

🎁 Benefits

• Competitive compensation: For Brazil, the advertised gross monthly salary is up to R$27,000 BRL
• Fully remote work: Work remotely from Brazil.
• International collaboration: Opportunity to work with engineering teams in a distributed
• Technical impact: Contribute to scalable AWS data platforms and modern cloud data engineering