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We are looking for a Senior / Lead Data DevOps to join EPAM and contribute to a project for a large customer in the e-commerce/fashion industry.

Description

As a Senior Data DevOps in Data Platform, you will focus on maintaining and implementing new features to the data transformation architecture, which is the backbone of the Customer's analytical data platform. By constantly challenging the status quo, you will deliver high-performance data processing solutions that are efficient and reliable at scale.
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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

• Salary range 4200-6500 EUR gross, based on your experience and interview results
• Outstanding career development roadmap to accelerate your journey
• Engineering community of industry’s top professionals
• Certification and mentoring programs, training, and unlimited access to LinkedIn Learning
• Innovative solutions delivery to the world’s industry leaders
• Regular assessments and salary reviews
• Bonuses for participating in the referral program
• Participation in the Employee Stock Purchase Plan
• Flexible schedule and opportunity to work remotely from any place in Lithuania
• Friendly team and enjoyable working environment
• Relocation within offices in 50+ countries with throughout support for you and your family
• Three additional vacation days and four trust days a year (sick leave without a medical certificate)
• Private health insurance and corporate discounts for family members

About EPAM

• As consultants, designers, architects, engineers and trainers, at EPAM we focus on building long-term partnerships with our customers, enabling them to reimagine their businesses through a digital lens. We help our customers become faster, more agile and more adaptive enterprises, by delivering solutions through best-in-class engineering, strategy, design, consulting, education and innovation services