Senior Data Platform Engineer - DevOps & AWS

Spheric, Inc.

Buenos Aires

Híbrido

ARS 139.086.000 - 200.903.000

Jornada completa

Hace 2 días
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Ventajas ofrecidas por este puesto de trabajo

Competitive compensation
Flexible work environment

Descripción de la vacante

Proofpoint is seeking a Senior DevOps and Data Engineer to join our Data Platform team. This hybrid role focuses on reliability, automation, and delivery of data pipelines and analytics capabilities on an AWS-first stack.

You will build and maintain cloud infrastructure, CI/CD tooling, and observability for ETL jobs, data catalogs, and Lake Formation permissions while collaborating with data engineers, scientists, and security teams to scale automated solutions.

Formación

  • 5+ years of professional experience in DevOps, platform engineering, or site reliability engineering, with at least 2 years of hands-on data engineering work.
  • Deep expertise with AWS core services and data services (Glue, Athena, S3).
  • Proficiency with Infrastructure-as-Code tools (Terraform and/or AWS CDK).

Responsabilidades

  • Design, implement, and maintain CI/CD pipelines for automated testing, deployment, and promotion of AWS Glue ETL jobs and related data infrastructure.
  • Own the observability stack for data pipelines with metrics, logs, and alerts to ensure SLA compliance and fast incident response.
  • Develop and maintain the DataOps platform self-service tooling and reusable templates for production-grade pipelines.

Conocimientos

AWS
DevOps
Data engineering
CI/CD
Docker
Kubernetes

Herramientas

Terraform
AWS CDK
GitHub Actions
Jenkins

Descripción del empleo

Proofpoint is seeking a Senior DevOps and Data Engineer to join our Data Platform team. This hybrid role focuses on reliability, automation, and delivery of data pipelines and analytics capabilities on an AWS-first stack.

You will build and maintain cloud infrastructure, CI/CD tooling, and observability for ETL jobs, data catalogs, and Lake Formation permissions while collaborating with data engineers, scientists, and security teams to scale automated solutions.

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