Senior Data Platform Engineer — AWS, DevOps & DataOps

Little Ms.Talent

Buenos Aires

Híbrido

ARS 108.178.000 - 185.448.000

Jornada completa

Hace 2 días
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Descripción de la vacante

Proofpoint is seeking a Senior DevOps and Data Engineer to join our Data Platform team in a hybrid capacity, balancing platform engineering and data infrastructure. You will own reliability, automation, and delivery of data pipelines and analytics systems on an AWS-first stack.

You will build and maintain cloud infrastructure, CI/CD pipelines, and DevOps tooling that empower data teams to ship high-quality data products faster, while contributing to data pipelines using Glue, Athena, and S3 with

Formación

  • Experience designing and operating CI/CD pipelines for data platforms.
  • Strong knowledge of AWS services (S3, Glue, Athena, IAM, IAM roles).
  • Hands-on experience with Infrastructure-as-Code (Terraform and/or CDK).
  • Proficiency in containerization and orchestration (Docker, ECS/EKS, Lambda).

Responsabilidades

  • Design, implement, and maintain CI/CD pipelines for automated testing and deployment of AWS Glue ETL jobs, Athena views, and related data infra.
  • Build and manage cloud infrastructure on AWS using IaC (Terraform and/or CDK).
  • Own observability stack: metrics, logs, alerts (CloudWatch, Datadog).
  • Develop and maintain DataOps tooling, templates, and libraries for fast production pipelines.
  • Mentor engineers, perform code reviews, and contribute to architectural decisions.

Conocimientos

CI/CD pipelines
AWS
Data engineering
DevOps
Python

Herramientas

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

Descripción del empleo

Proofpoint is seeking a Senior DevOps and Data Engineer to join our Data Platform team in a hybrid capacity, balancing platform engineering and data infrastructure. You will own reliability, automation, and delivery of data pipelines and analytics systems on an AWS-first stack.

You will build and maintain cloud infrastructure, CI/CD pipelines, and DevOps tooling that empower data teams to ship high-quality data products faster, while contributing to data pipelines using Glue, Athena, and S3 with

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