Senior Data Platform Engineer – DevOps & AWS

Ntt Data Group

Buenos Aires

Hybrid

ARS 139,086,000 - 200,903,000

Full time

6 days ago
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Job summary

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 AWS.

You will own CI/CD for AWS Glue ETL jobs, manage Terraform/CDK-based infrastructure, and contribute to data orchestration and security practices. You'll collaborate across data engineers, data scientists, and security teams to build scalable, automated infrastructure that speeds data product

Qualifications

  • 5+ years in DevOps/platform engineering with data engineering work.
  • Strong experience with AWS core services (S3, IAM, VPC, CloudWatch).
  • Proficiency with IaC tools Terraform or CDK.

Responsibilities

  • Design, implement, and maintain CI/CD pipelines for AWS Glue ETL jobs and related data infra.
  • Build and manage AWS cloud infrastructure using IaC (Terraform / CDK).
  • Own observability for data pipelines: metrics, logs, alerts, tracing.
  • Develop self-service DataOps tooling and reusable templates.
  • Manage container/compute infra (Docker, ECS/EKS, Lambda).
  • Operate MWAA/Airflow workflows including upgrades and scaling.
  • Drive security best practices across the data platform and IAM controls.
  • Collaborate with data teams to translate requirements into scalable infra.

Skills

AWS
CI/CD
Data engineering
Observability
Security basics

Tools

Terraform
AWS CDK
GitHub Actions
Jenkins
Docker
ECS/EKS

Job description

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 AWS.

You will own CI/CD for AWS Glue ETL jobs, manage Terraform/CDK-based infrastructure, and contribute to data orchestration and security practices. You'll collaborate across data engineers, data scientists, and security teams to build scalable, automated infrastructure that speeds data product

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