Senior DevOps & Data Engineer - Cloud Data Platform

Bluelight Consulting, Llc

Buenos Aires

Ibrido

ARS 139.086.000 - 231.811.000

Tempo pieno

3 giorni fa
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Curriculum e lettera di presentazione personalizzati, pronti da inviare.

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Vantaggi offerti da questo lavoro

Competitive compensation
Flexible work environment
Global collaboration

Descrizione del lavoro

Proofpoint is seeking a Senior DevOps and Data Engineer to join our Data Platform team. This hybrid role sits in Cordoba, Argentina, and focuses on reliability, automation, and data-pipeline delivery, building cloud infrastructure (AWS-first) and CI/CD pipelines to empower data teams.

You will work with AWS Glue, Athena, and S3, drive observability, security, and scalable data engineering practices while collaborating with data scientists and security teams.

Competenze

  • 5+ years in DevOps, platform engineering, or SRE with data engineering experience.
  • Deep AWS expertise (S3, IAM, VPC, CloudWatch, Lambda, ECS/EKS).
  • Hands-on Terraform or AWS CDK; CI/CD with GitHub Actions/Jenkins.
  • Experience with Docker and container orchestration (ECS/EKS/K8s).

Mansioni

  • Design and maintain CI/CD pipelines for AWS Glue ETL and Athena.
  • Build and manage AWS-based data infrastructure with IaC.
  • Own observability: metrics, logs, alerts for data pipelines.
  • Lead incident response and drive post-mortems for outages.
  • Mentor junior engineers in DevOps and data engineering.

Conoscenze

DevOps
Platform engineering
SRE
AWS
CI/CD
Docker
Kubernetes
Data engineering
Python/Spark

Strumenti

Terraform
AWS CDK
GitHub Actions
Jenkins
Docker
Kubernetes

Descrizione del lavoro

Proofpoint is seeking a Senior DevOps and Data Engineer to join our Data Platform team. This hybrid role sits in Cordoba, Argentina, and focuses on reliability, automation, and data-pipeline delivery, building cloud infrastructure (AWS-first) and CI/CD pipelines to empower data teams.

You will work with AWS Glue, Athena, and S3, drive observability, security, and scalable data engineering practices while collaborating with data scientists and security teams.

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