Back to SearchSenior Data Software Engineer
Remote in Ukraine
Data Software Engineering
& 3 others
Sorry, this position is no longer available
Ukraine
We are looking for a remote Senior Data Software Engineer to join our team in developing a cutting-edge data platform solution.
You will work closely with Product Management teams to identify solution requirements and develop data platform capabilities, utilizing your expertise in Azure Databricks, Scala, and other cloud technologies. As a Senior Data Software Engineer, you will collaborate with cross-functional teams in an agile environment to implement data pipelines and support all testing and DevOps activities through go-live.
Responsibilities
- Work closely with Product Management teams in identifying solution requirements and developing the data platform capabilities
- Contribute to data analytics development by utilizing the data technology stack based on Azure Databricks and other standard tools
- Create and present data platform solution documents to support the development effort to build data pipelines
- Work as a team member in an agile environment to implement data pipelines and support all testing and DevOps activities through go-live
- Contribute to Big Data solution development, researching, comparing, and selecting tools/technologies/approaches to be used
- Participate in performance tuning and optimization, and bottleneck problem analysis
Requirements
- 3+ years of relevant professional experience
- Strong hands-on experience as an Azure Databricks (Scala programming) developer with a solid design/development background in Azure Cloud
- Experience in high load and Data Platform implementations
- Familiarity with continuous delivery tools and technologies (some DevOps experience preferred)
- Experience with Containers and Resource Management systems: Docker, Mesos, Kubernetes/OpenShift, Yarn
- Familiarity with Big Data solution development
- Strong in research, comparison, and selection of tools/technologies/approaches to be used
- Fluent spoken and written English at an Upper-Intermediate level or higher
Nice to have
- Exposure to machine learning and data science methodologies and tools
Benefits
- International projects with top brands
- Work with global teams of highly skilled, diverse peers
- Healthcare benefits
- Employee financial programs
- Paid time off and sick leave
- Upskilling, reskilling and certification courses
- Unlimited access to the LinkedIn Learning library and 22,000+ courses
- Global career opportunities
- Volunteer and community involvement opportunities
- EPAM Employee Groups
- Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn