Senior DevOps & Data Engineer - AWS Data Pipelines

Publicis Global Delivery (Pgd)

Buenos Aires

Ibrido

ARS 900.000 - 1.400.000

Tempo pieno

2 giorni fa
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Descrizione del lavoro

Proofpoint is seeking a Senior DevOps and Data Engineer to join our Data Platform team in a hybrid role. You will own the reliability, automation, and delivery of the systems powering Proofpoint's data pipelines and analytics capabilities, building and maintaining cloud infrastructure (AWS-first) and CI/CD tooling that enable data engineers to ship high-quality data products faster and more safely.

You will work at the boundary between platform and data, focusing on observability, security, and

Competenze

  • 5+ years in DevOps or SRE with data engineering exposure.
  • Deep AWS core services knowledge (S3, IAM, VPC, CloudWatch).
  • Hands-on with Glue, Athena, and S3.
  • Proficiency with IaC tools (Terraform / CDK).
  • Strong CI/CD design and maintenance.
  • Experience with containers and orchestration (Docker, ECS/EKS).

Mansioni

  • Design and maintain CI/CD pipelines for AWS Glue ETL and Athena.
  • Build and manage AWS infrastructure using IaC.
  • Own observability stack with metrics, logs, and alerts.
  • Develop DataOps tooling and reusable templates for pipelines.
  • Manage container and compute infra for data services.
  • Operate workflow orchestration (MWAA/Airflow) including upgrades.
  • Drive security best practices across the data platform.
  • Lead incident response and post-mortems.
  • Mentor junior engineers and review designs.

Conoscenze

DevOps expertise
Data engineering
CI/CD pipelines
Cloud infrastructure (AWS)
Observability
Communication skills

Strumenti

Terraform
AWS CDK
GitHub Actions
Jenkins
Docker
Kubernetes
ECS/EKS
Airflow

Descrizione del lavoro

Proofpoint is seeking a Senior DevOps and Data Engineer to join our Data Platform team in a hybrid role. You will own the reliability, automation, and delivery of the systems powering Proofpoint's data pipelines and analytics capabilities, building and maintaining cloud infrastructure (AWS-first) and CI/CD tooling that enable data engineers to ship high-quality data products faster and more safely.

You will work at the boundary between platform and data, focusing on observability, security, and

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