AWS Data Platform Engineer – DevOps & Data Pipelines

Proofpoint; Córdoba; Híbrido; ARS 1.200.000 - 1.800.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive compensation

Comprehensive benefits

Flexible work environment

Annual wellness and community outreach

Always on recognition

Descripción de la vacante

Proofpoint invites you to join our Data Platform team in Córdoba as a DevOps and Data Engineer hybrid role. You’ll own reliability, automation, and delivery of data pipelines and analytics infrastructure on AWS, with CI/CD pipelines and DevOps tooling to ship high‑quality data products faster.

Collaborating with data engineers, data scientists, and security teams, you’ll translate requirements into scalable infrastructure, build observability, and apply security best practices in a dynamic,

Formación

• 2+ years in DevOps or SRE with data engineering
• Proficiency with AWS core services and data services
• Experience with IaC tools Terraform or CDK

Responsabilidades

• Implement and maintain CI/CD pipelines for data infrastructure
• Build AWS infrastructure with IaC (Terraform and/or CDK)
• Own observability stack for data pipelines (metrics/logs/alerts)
• Manage container and compute infrastructure (Docker, ECS/EKS, Lambda)
• Develop AWS Glue ETL jobs for large-scale data ingestion and transformation
• Collaborate with data engineers, data scientists, and security teams

Conocimientos

DevOps experience

Platform engineering

Site Reliability Engineering

CI/CD pipelines design

Collaboration with data teams

Herramientas

AWS S3

AWS IAM

AWS VPC

CloudWatch

Lambda

ECS

EKS

Glue

Athena

Terraform

AWS CDK

GitHub Actions

Jenkins

Docker

Kubernetes

Descripción del empleo

Proofpoint invites you to join our Data Platform team in Córdoba as a DevOps and Data Engineer hybrid role. You’ll own reliability, automation, and delivery of data pipelines and analytics infrastructure on AWS, with CI/CD pipelines and DevOps tooling to ship high‑quality data products faster.

Collaborating with data engineers, data scientists, and security teams, you’ll translate requirements into scalable infrastructure, build observability, and apply security best practices in a dynamic,