Lead Big Data DevOps Engineer

Remote: 
Full Remote
Contract: 
Work from: 

Offer summary

Qualifications:

Bachelor's degree in Computer Science or related field., Proven experience in Big Data technologies such as Hadoop, Spark, and Kafka., Strong knowledge of DevOps practices and tools, including CI/CD pipelines., Experience with cloud platforms like AWS or Azure..

Key responsibilities:

  • Lead the design and implementation of Big Data solutions.
  • Collaborate with cross-functional teams to optimize data workflows.
  • Monitor and maintain the performance of data systems.
  • Ensure best practices in DevOps are followed throughout the development lifecycle.

EPAM Systems logo
EPAM Systems XLarge http://www.epam.com
10001 Employees
See all jobs

Job description

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. Salary range €3.6K-€6K gross, based on your experience and interview results. 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 888+ talented innovators in 3 years. We foster creativity and unconventional ways of doing things, welcoming like-minded professionals to join us.

Required profile

Experience

Spoken language(s):
English
Check out the description to know which languages are mandatory.

Data Engineer Related jobs