Remote Data Platform Engineer (DevOps & ETL)

Fortifi Food Processing Solutions; Buenos Aires; Ibrido; ARS 139.086.000 - 185.448.000; Tempo pieno

Descrizione del lavoro

Proofpoint is seeking a DevOps and Data Engineer to join our Data Platform team in Córdoba, Argentina. This hybrid role sits at the intersection of platform engineering and data infrastructure, owning the reliability, automation, and delivery of data pipelines and analytics capabilities.

You will build and maintain cloud infrastructure on AWS (first), CI/CD pipelines, and DevOps tooling that empower data engineering teams to ship high-quality data products faster and more safely.

Competenze

• 2+ years in DevOps or platform engineering with data engineering
• Experience with AWS core services: S3, IAM, VPC, CloudWatch, Lambda, ECS/EKS, Secrets Manager, CloudFormation/CDK
• Proficiency with Infrastructure-as-Code tools Terraform and/or AWS CDK

Mansioni

• Implement and maintain CI/CD pipelines for automated testing, deployment, and promotion of AWS Glue ETL jobs and related data infrastructure
• Build and manage cloud infrastructure on AWS using IaC (Terraform and/or AWS CDK)
• Own the observability stack for data pipelines with metrics, logs, and alerts (CloudWatch, Datadog)
• Manage container and compute infrastructure (Docker, ECS/EKS, or Lambda) for data ingestion microservices
• Build and maintain AWS Glue ETL jobs (PySpark) for large-scale data ingestion and transformation
• Collaborate with data engineers and security teams to translate requirements into scalable, automated infrastructure solutions

Conoscenze

AWS core services

Terraform

AWS CDK

CI/CD pipelines

GitHub Actions

Jenkins

Docker

ECS/EKS

Kubernetes

Athena

Glue

S3

Data engineering

Strumenti

Terraform

AWS CDK

CloudFormation

GitHub Actions

Descrizione del lavoro

Proofpoint is seeking a DevOps and Data Engineer to join our Data Platform team in Córdoba, Argentina. This hybrid role sits at the intersection of platform engineering and data infrastructure, owning the reliability, automation, and delivery of data pipelines and analytics capabilities.

You will build and maintain cloud infrastructure on AWS (first), CI/CD pipelines, and DevOps tooling that empower data engineering teams to ship high-quality data products faster and more safely.