Senior / Lead Data DevOps Engineer (AWS, Databricks) Lithuania or Remote

What You’ll Do

• In the area of Operational Excellence:
  • Troubleshooting user issues related to Databricks (Spark) and suggesting optimizations for long-running or resource-intensive jobs
  • Guiding users on best practices of Databricks cluster management
  • Consult and help our diverse teams to develop, implement and maintain sustainable, high-performance, growth-ready data-processing and data integration systems
• In the area of Delivering New Features:
  • Implementing services that improve the CI/CD experience of users by emphasizing self-service
  • Working together with other teams in Customer’s Data Infrastructure to deliver services that serve as a backbone for Customer’s central datalake
• In the area of Compliance & Security:
  • Improving data access methods to provide bulletproof, secure and by default compliant self-service platform
• In the area of Cost Savings:
  • Guiding users and supporting them to find cost-effective setups while keeping high efficiency
  • Implementing observability solutions in Databricks to reduce slack costs
  • Driving users to adopt edge Databricks features like Photon and Graviton instances
  • Reviewing current infrastructure to find cost-saving opportunities
  • Analyzing, designing and developing solutions in an Agile team to support essential business needs for the platform search application

What You Have

• Proficient knowledge in working with distributed data processing frameworks like Apache Spark and a good understanding of relational database management systems
• Strong hands-on experience with Databricks
• Practical knowledge of Python and Scala combined with SQL knowledge
• Hands-on experience in cloud technologies (AWS services like IAM, S3, Lambda, EC2)
• Engineering craftsmanship with an expertise in software development processes focusing on testing, continuous integration/continuous delivery (CI/CD), monitoring and writing documentation
• Advanced English skills

Nice to Have

• AWS Networking or Basics of Networking on AWS cloud
• Hands-on experience with Terraform

We Offer

• Engineering Heritage: Best-in-class experts sharing a culture of 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 Forbes Global 2000 on creating disruptive solutions that make a global impact
• Professional Growth: Exceptional support for career development with comprehensive in-house resources for upskilling or reskilling
• GenAI-X Global Community: A network of AI enthusiasts within EPAM, dedicated to exploring and sharing AI innovations
• 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 Lithuania, whether it's your home or our dynamic offices in Vilnius and Kaunas
• Other Benefits: 4200-6500 EUR gross, based on interview results, 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 Lithuania to over 1,300 talented innovators in just 3 years. We foster creativity and unconventional ways of doing things, welcoming like-minded professionals to join us