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5 дней назад

Associate Principal Engineer (DataOps)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Brazil
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Associate Principal Engineer (DataOps): Managing and optimizing reliable analytics platforms, data pipelines, and cloud-based data operations with an accent on SQL diagnostics, automation, observability, and AWS infrastructure. Focus on building CI/CD and infrastructure-as-code workflows, solving operational incidents, and maintaining data quality, security, and platform performance.

Location: Rio de Janeiro, Brazil

Company

Digital Product Engineering company delivering products, services, and digital experiences across global business units.

What you will do

  • Manage and support data pipelines, ETL processes, and analytics platforms for reliability, accuracy, and accessibility.
  • Perform SQL-based diagnostics, data validation, quality checks, and performance tuning with Python and Shell scripting.
  • Implement monitoring and observability with Datadog, Grafana, and Prometheus.
  • Integrate data deployments into CI/CD pipelines using Jenkins, Azure DevOps, and Git.
  • Provision and automate data environments with Terraform and Ansible, while supporting Docker and Kubernetes-based environments.
  • Handle incidents and service requests through ServiceNow, perform root cause analysis, and collaborate with Data Engineering, Product, Infrastructure, Security, and Compliance teams.

Requirements

  • 7 years of experience in DataOps, Data Engineering Operations, or Analytics Platform Support.
  • Strong Python and SQL skills for automation and data diagnostics.
  • Strong DevOps experience with AWS and Azure.
  • Experience with Jenkins, Azure DevOps, Git, Terraform, Ansible, and Datadog.
  • Knowledge of monitoring, observability, data governance, data quality, incident management, and operational metrics such as MTTR, uptime, and latency.
  • Understanding of Docker and Kubernetes concepts, plus experience working in Scrum or Kanban delivery models.

Culture & Benefits

  • Full-time role within Tech Delivery and Infrastructure Operations teams.
  • Work in a dynamic, non-hierarchical environment with cross-functional delivery squads.
  • Collaborate with global business units and distributed engineering teams.

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