AWS Data Platform Engineer (Fully Remote)

Partner Company; United States; Remote; USD 40.000 - 60.000; Vollzeit

Zusammenfassung

Partner Company is building scalable AWS cloud data platforms with a focus on data governance and performance. You will work with an international, fully remote engineering team to design pipelines and automate infrastructure.

Ideal candidates have strong Python, PySpark, SQL, and Terraform skills, with experience in AWS Glue, EMR, Lake Formation, and CloudWatch, plus advanced English and distributed collaboration.

Qualifikationen

• Experience with AWS data services, Python, PySpark, SQL, and Terraform.
• Understanding of data governance, quality, and performance optimization.
• Advanced English (C1) and ability to work with distributed teams.

Aufgaben

• Design and build cloud data platforms on AWS with Glue, EMR, Lake Formation, and CloudWatch.
• Develop data pipelines using Python, PySpark, SQL, and open table formats like Hudi or Iceberg.
• Automate infrastructure with Terraform and ensure data quality, security, and performance.

Kenntnisse

AWS data services

Python

PySpark

SQL

Terraform

English (C1)

Tools

AWS Glue

AWS EMR

Lake Formation

CloudWatch

Jobbeschreibung

• Design and build cloud data platforms on AWS with Glue, EMR, Lake Formation, and CloudWatch.
• Develop data pipelines using Python, PySpark, SQL, and open table formats like Hudi or Iceberg.
• Automate infrastructure with Terraform and ensure data quality, security, and performance.

Requirements:

• Experience with AWS data services, Python, PySpark, SQL, and Terraform.
• Understanding of data governance, quality, and performance optimization.
• Advanced English (C1) and ability to work with distributed teams.
• Competitive gross monthly salary up to R$27,000 BRL.
• Fully remote work from Brazil with international collaboration.

Partner Company

The hiring partner company builds scalable AWS cloud data platforms and modern data solutions. It maintains a fully remote, international culture with collaborative engineering teams.