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Middle/Senior DataOps Engineer
Отличная вакансия в стабильной международной компании с сильной инженерной культурой. Предлагает работу с современным стеком (Databricks, IaC) и гибкие условия работы.
Сложность вакансии
Роль требует глубоких знаний специфического стека (Azure + Databricks) и опыта миграции данных. Высокий уровень ответственности за инфраструктуру для Fortune 500 клиентов повышает планку требований к кандидату.
Анализ зарплаты
Зарплата в вакансии не указана, но для Middle/Senior DataOps в регионе Латинской Америки (Бразилия) рыночные вилки достаточно конкурентны, особенно в международных компаниях уровня Exadel. Предлагаемый пакет бонусов и работа на глобальные бренды дополняют ценность предложения.
Сопроводительное письмо
I am writing to express my strong interest in the Middle/Senior DataOps Engineer position at Exadel. With over five years of experience in DevOps and a specialized focus on Azure and Databricks, I am confident in my ability to lead the migration from Synapse and optimize your data infrastructure. My background in implementing Infrastructure as Code using Terraform and managing CI/CD pipelines for complex data engineering workloads aligns perfectly with the requirements of this role.
Throughout my career, I have successfully automated provisioning and monitoring for large-scale data environments, ensuring high availability and cost-efficiency. I am particularly excited about the opportunity to work on a project that supports over 7,000 health clubs, as it combines my technical expertise with a meaningful impact on the health and fitness industry. I look forward to bringing my collaborative mindset and technical skills to your agile team.
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Описание вакансии
Why Join Exadel
We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.
From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.
About the Client
The health and fitness software and payment processing provider in the United States, Puerto Rico, Canada, and Mexico. Founded in 1981, they currently work with 7,000+ health clubs. Customer offerings include payment processing and gym management solutions that allow managers to track memberships and schedules and automate payment processing functions.
What You’ll Do
- Support the 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
• Deployment of data marts and consumption layers
• Integration with reporting and Power BI solutions
- 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
- Troubleshoot and resolve environment, pipeline, and integration issues efficiently
- Stay current with DevOps best practices and emerging technologies in the cloud and data ecosystem
What You Bring
- 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
- Knowledge of containerization and orchestration (Docker, Kubernetes is a plus)
- Experience implementing monitoring and observability tools (Azure Monitor, Prometheus, Grafana, etc.)
- Strong understanding of cloud security, governance, and cost optimization practices
- Competency in collaborating with engineers to ensure stable, scalable, and maintainable solutions
- Experience working in agile teams using SCRUM methodologies
English level
Upper-Intermediate
Legal & Hiring Information
- Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
- Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
- Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs
Your Benefits at Exadel
Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.
- International projects
- In-office, hybrid, or remote flexibility
- Medical healthcare
- Recognition program
- Ongoing learning & reimbursement
- Well-being program
- Team events & local benefits
- Sports compensation
- Referral bonuses
- Top-tier equipment provision
Exadel Culture
We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.
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Навыки
- Azure
- Databricks
- Terraform
- Python
- Bash
- PowerShell
- Azure DevOps
- GitHub Actions
- Docker
- Kubernetes
- Prometheus
- Grafana
- Scrum
Возможные вопросы на собеседовании
Проверка практического опыта миграции, заявленного в описании вакансии.
Расскажите о вашем опыте миграции с Azure Synapse на Databricks: с какими основными трудностями вы столкнулись?
Оценка навыков автоматизации инфраструктуры.
Как вы структурируете код Terraform для управления несколькими средами Databricks (dev/stage/prod)?
Проверка понимания специфики CI/CD для данных.
В чем, по вашему мнению, главное отличие CI/CD для Data Engineering от классического DevOps для веб-приложений?
Оценка навыков оптимизации затрат в облаке.
Какие стратегии вы используете для мониторинга и оптимизации затрат на кластеры Databricks в Azure?
Проверка навыков обеспечения надежности.
Как вы организуете мониторинг и алертинг для конвейеров данных, чтобы минимизировать время простоя (downtime)?
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