Senior Data Platform Engineer – AWS, DevOps & ETL

Measured; Buenos Aires; Ibrido; ARS 139.086.000 - 185.448.000; Tempo pieno

Vantaggi offerti da questo lavoro

Competitive compensation

Comprehensive benefits

Flexible work environment

Wellness days

Recognition program

Global collaboration opportunities

Descrizione del lavoro

Proofpoint in Córdoba, Argentina is seeking a Senior DevOps and Data Engineer to own reliability and delivery of data infrastructure. You will design and run CI/CD pipelines, manage cloud infrastructure (AWS) with IaC, and oversee data pipelines using Glue, Athena, and S3.

A strong focus on observability and security is essential as you partner with data teams to ship robust data products. You will drive incident response, mentor engineers, and contribute to scalable platform decisions in a

Competenze

• 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: S3, IAM, VPC, CloudWatch, Lambda, ECS/EKS, Secrets Manager, and CloudFormation/CDK.
• Hands-on experience with AWS data services: Glue (ETL jobs, Crawlers, Data Catalog), Athena, and S3 lifecycle and security.
• Proficiency with Infrastructure-as-Code tools – Terraform and/or AWS CDK – for managing production cloud environments.
• Strong CI/CD experience: designing and maintaining pipelines in GitHub Actions, Jenkins, GitLab CI, or equivalent.
• Experience with container technologies (Docker) and container orchestration (ECS/EKS/Kubernetes).
• Proven ability to design and operate observability systems (metrics, logging, distributed tracing, alerting) for data and platform services.
• Strong communication skills; able to translate operational concerns into clear engineering trade-offs.

Mansioni

• Design, implement, and maintain CI/CD pipelines for automated testing, deployment, and promotion of AWS Glue ETL jobs, Athena views, and related data infrastructure.
• Build and manage cloud infrastructure on AWS using IaC (Terraform and/or AWS CDK).
• Own the observability stack for data pipelines: metrics, logs, and alerts to ensure SLA compliance and fast incident response.
• Develop and maintain the DataOps platform – self-service tooling, templates, and libraries for production-grade pipelines.
• Manage container and compute infrastructure (Docker, ECS/EKS, or Lambda) to support data ingestion microservices and orchestration workers.
• Design and operate workflow orchestration environments (MWAA / Airflow, Step Functions) including upgrades and scaling.
• Build and maintain Glue ETL jobs (PySpark) for large-scale data ingestion and transformation.
• Drive security best practices across the data platform: secrets management, least-privilege IAM, network segmentation, and compliance controls.
• Collaborate with data engineers, data scientists, and security teams to translate requirements into scalable infrastructure solutions.
• Lead incident response for data platform outages: on-call, root-cause analysis, and post-mortem improvements.
• Mentor junior engineers and contribute to architecture decision records.

Conoscenze

DevOps engineering

Data engineering

AWS core services

CI/CD

Infrastructure as Code

Container orchestration

Observability

Cross‑team collaboration

Strumenti

Terraform

AWS CDK

GitHub Actions

Jenkins

Docker

ECS/EKS/Kubernetes

Apache Airflow / MWAA

S3 / Glue / Athena

Descrizione del lavoro

Proofpoint in Córdoba, Argentina is seeking a Senior DevOps and Data Engineer to own reliability and delivery of data infrastructure. You will design and run CI/CD pipelines, manage cloud infrastructure (AWS) with IaC, and oversee data pipelines using Glue, Athena, and S3.

A strong focus on observability and security is essential as you partner with data teams to ship robust data products. You will drive incident response, mentor engineers, and contribute to scalable platform decisions in a