DevOps y Data Engineer en AWS — Optimización de Pipelines

Activos Humanos

Buenos Aires

Ibrido

ARS 92.724.000 - 185.448.000

Tempo pieno

2 giorni fa
Candidati tra i primi

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Vantaggi offerti da questo lavoro

Competitive compensation
Flexible work environment
Career growth
Global collaboration

Descrizione del lavoro

Proofpoint is seeking a Senior DevOps and Data Engineer to join the Data Platform team in Córdoba. You will own reliability, automation, and delivery of data pipelines, building and maintaining cloud infrastructure on AWS, CI/CD for Glue ETL jobs, and orchestration of data workflows.

You’ll shape observability, security, and operational excellence across production data services. You will collaborate with data engineers, data scientists, and security teams to ship high-quality data products,

Competenze

  • 5+ years of professional experience in DevOps, platform engineering, or site reliability engineering, with data engineering exposure.

Mansioni

  • Design, implement, and maintain CI/CD pipelines for AWS Glue ETL jobs and related data infrastructure.
  • Build and manage AWS infrastructure using IaC (Terraform and/or AWS CDK).
  • Own observability stacks for data pipelines (metrics, logs, alerts).
  • Develop DataOps tooling and reusable templates for rapid pipeline delivery.
  • Lead incident response and drive post-mortem improvements.
  • Mentor junior engineers in DevOps and data engineering practices.

Conoscenze

Communication skills
Problem solving
Automation mindset
Team mentoring

Strumenti

AWS
Terraform
CDK
Docker
ECS/EKS
Airflow
Glue
S3
CI/CD
GitHub Actions

Descrizione del lavoro

Proofpoint is seeking a Senior DevOps and Data Engineer to join the Data Platform team in Córdoba. You will own reliability, automation, and delivery of data pipelines, building and maintaining cloud infrastructure on AWS, CI/CD for Glue ETL jobs, and orchestration of data workflows.

You’ll shape observability, security, and operational excellence across production data services. You will collaborate with data engineers, data scientists, and security teams to ship high-quality data products,

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