AWS Data Platform Engineer – DevOps & ETL Pipelines

Bigmedia; Buenos Aires; Hybrid; ARS 76,867,000 - 138,361,000; Full time

Job summary

Proofpoint is seeking a DevOps and Data Engineer to join our Data Platform team in a hybrid role. You will own the reliability, automation, and delivery of systems powering our data pipelines and analytics.

Build and maintain cloud infrastructure (AWS-first), CI/CD pipelines, and DevOps tooling that enable data teams to ship high-quality data products quickly and safely. You will implement and manage CI/CD for AWS Glue ETL jobs, manage AWS resources via IaC, and own the observability stack with

Qualifications

• 2+ years of professional experience in DevOps, platform engineering, or site reliability engineering.
• Hands-on data engineering experience is required.
• Strong experience with cloud platforms, especially AWS.

Responsibilities

• Build and maintain CI/CD pipelines for data infrastructure and ETL workflows.
• Manage cloud infrastructure (AWS) with IaC tools like Terraform or AWS CDK.
• Oversee observability for data pipelines with metrics, logs, and alerts.
• Handle container and compute infrastructure (Docker, ECS/EKS, Lambda) for data services.
• Develop and optimize AWS Glue ETL jobs and data lake processes.
• Collaborate with data teams to design scalable, automated infrastructure solutions.

Skills

DevOps experience

Data engineering

Cloud computing

Tools

AWS

Terraform

CI/CD tooling

Docker

Kubernetes

Job description

Proofpoint is seeking a DevOps and Data Engineer to join our Data Platform team in a hybrid role. You will own the reliability, automation, and delivery of systems powering our data pipelines and analytics.

Build and maintain cloud infrastructure (AWS-first), CI/CD pipelines, and DevOps tooling that enable data teams to ship high-quality data products quickly and safely. You will implement and manage CI/CD for AWS Glue ETL jobs, manage AWS resources via IaC, and own the observability stack with