Lead Big Data DevOps Engineer

Are you an experienced engineer with skills in Azure and Databricks? Our client – the world's leading data, insights and consulting company – is looking for a highly qualified Lead Big Data DevOps to support enterprise data platform deployment on Azure environments. We operate on a global scale, understanding more about people's thought processes, feelings, shopping preferences, sharing habits, voting behaviors and perspectives than anyone else. As part of our team, you'll utilize your expertise to define brands and audiences, disrupt and renew offers, connect with audiences and win over consumers and customers.

Feel free to work remotely from anywhere across Latvia or connect with colleagues at our Riga office.

Responsibilities

Set up Azure Big Data service environment
Lead Infrastructure & CI/CD implementation
Supporting DEV and QA teams throughout the SDLC period
Configure infrastructure automation framework, CI/CD automation framework, Monitoring & Alerts via automation and Environments
Design and automate Quality Gates for Dev-QA-Prod deployment
Implement IaaC with Azure DevOps CI/CD

Requirements

Expertise in Azure DevOps
Strong knowledge of Azure Big Data (ADF, Data Bricks)
Extensive experience in CI/CD automation and Azure DevOps
Background in Azure Data Factory, Data Bricks, Azure monitor, adls, Event grid, Azure functions, Azure purview, Azure Cloud services and Terraform

Nice to have

Expertise with IaaC with Azure DevOps CI/CD
Knowledge of Jenkins and Ansible
Experience with continuous Integration and Continuous Delivery processes
Familiarity with Azure Infrastructure as a service and Platform as a service

We offer

Engineering Heritage: Best-in-class experts sharing a culture of engineering excellence and tackling complex engineering challenges for over 30 years.
Advanced Tech Stack: Innovative projects where you can apply or enhance your expertise in Cloud, Data, AI, and other emerging technologies.
World-Class Clients: Work closely with 295+ of the Forbes Global 2000 on creating disruptive solutions that make a global impact.
Professional Growth: Exceptional support for career development with comprehensive resources for upskilling or reskilling in pioneering practices.
GenAI Community: Strong AI competencies with 600+ experts across 55+ locations driving GenAI-enabled transformation journeys.
Entrepreneurial Culture: If you're passionate and dedicated to improving business transformation, we provide the support you need to bring your ideas to life.
Hybrid Setup: The flexibility to work from any location in Latvia, whether it's your home or our office in Riga.
Other Benefits: Additional vacation and trust days, private health insurance, Employee Stock Purchase Plan and more.

About EPAM

EPAM is a leading global provider of digital platform engineering and development services. For over 30 years, our team has helped leading brands navigate the waves of digital transformation, building solutions that help them stay competitive through constant market disruption.

With offices in 55+ countries, EPAM has grown in Latvia to over 150+ talented innovators in 3 years. We foster creativity and unconventional ways of doing things, welcoming like-minded professionals to join us.

Salary range €3.6K-€6K gross, based on your experience and interview results.

Lead Big Data DevOps Engineer

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