Data Software Engineer

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

We are searching for a talented and experienced Data Software Engineer to join our team and drive the creation of data-focused applications.

You will utilize leading-edge Big Data tools, cloud technologies, and collaborate across teams to deliver innovative solutions that solve intricate business problems.

Responsibilities

• Engineer and enhance data software applications that support Data Integration Engineers
• Design and deploy advanced analytical solutions using Spark, PySpark, NoSQL, and other Big Data tools
• Leverage AWS services to add cloud features that improve data workflow efficiency
• Partner with product and engineering teams to gather requirements and enable decision support
• Collaborate with architects, technical leads, and other teams to maintain solution consistency
• Assess business goals and technical constraints to recommend the right implementations
• Lead code review activities to encourage best practices and strong code quality
• Execute validation and testing across functional, technical, and performance criteria
• Produce and maintain detailed documentation to support ongoing development
• Work directly with clients to understand needs and provide expert technical direction

Requirements

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related area
• 2+ years of hands-on Data Software Engineering experience with Big Data technologies
• Good command of data engineering principles covering data management, storage, visualization, operations, and security
• Strong grasp of ingestion pipelines along with Data Warehousing and Data Lakes
• Programming experience in Python, Java, Scala, or Kotlin
• Advanced knowledge of SQL and NoSQL data stores
• Proficiency with Spark and PySpark in production data solutions
• Ability to architect and deploy AWS-based solutions using Glue and RedShift
• Familiarity with CI/CD approaches for integration and deployment workflows
• Exposure to Docker, Kubernetes, and Yarn for containerized delivery
• Working experience with Databricks for analytics and data engineering
• English level of minimum B2 (Upper-Intermediate) for effective communication

Nice to have

• Working knowledge of Hadoop, Hive, Flink, and related Big Data tooling
• Understanding of SDLC methodologies with Agile as a key approach
• Experience applying and governing SDLC implementation practices

We offer

• 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