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2 дня назад

Middle/Senior DataOps Engineer (Azure)

Формат работы
remote (только Latam/europe)
Тип работы
fulltime
Грейд
middle/senior
Английский
b2
Страна
Poland, Romania, Bulgaria, Brazil
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR

Middle/Senior DataOps Engineer (Azure): Building and maintaining robust infrastructure and deployment pipelines for data engineering workloads, with an accent on Databricks migration, CI/CD automation, and cloud cost optimization. Focus on implementing Infrastructure as Code, troubleshooting environment issues, and ensuring reliable data delivery in Azure environments.

Location: Candidates must be based in Brazil, Bulgaria, Poland, or Romania, with flexibility for in-office, hybrid, or remote work within these countries.

Company

hirify.global is an AI-first global tech company with over 25 years of engineering leadership, working with Fortune 500 clients on AI platforms and digital transformation.

What you will do

  • Support migration from Synapse to Databricks by building and maintaining robust infrastructure and deployment pipelines.
  • Automate provisioning, configuration, and monitoring of Databricks environments across multiple data streams.
  • Ensure smooth CI/CD processes for data engineering workloads, including initial data load automation and deployment of data marts.
  • Collaborate with Data Engineers, product teams, and business stakeholders to ensure reliable and secure data delivery.
  • Optimize system performance, scalability, and cost-efficiency in cloud environments.
  • Implement monitoring, alerting, and logging solutions to maintain system health and reliability.
  • Write and maintain Infrastructure as Code (IaC) for repeatable, version-controlled deployments.

Requirements

  • 5+ years of professional experience in DevOps, cloud infrastructure, and automation.
  • Strong hands-on experience with Azure and Databricks environments.
  • Proficiency with Infrastructure as Code tools (e.g., Terraform, ARM templates, Bicep, or similar).
  • Solid scripting and automation skills in Python, Bash, or PowerShell.
  • Familiarity with CI/CD pipelines (Azure DevOps, GitHub Actions, or similar) for data engineering workflows.
  • Strong understanding of cloud security, governance, and cost optimization practices.
  • English level: Upper-Intermediate (B2).

Nice to have

  • Knowledge of containerization and orchestration (Docker, Kubernetes).

Culture & Benefits

  • Access to international projects.
  • Flexibility with in-office, hybrid, or remote work options within specified countries.
  • Medical healthcare and well-being programs.
  • Ongoing learning opportunities and reimbursement.
  • Recognition programs, team events, and local benefits.
  • Culture of trust, respect, open dialogue, and mentorship.

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