Data Software Engineer

We are seeking a highly skilled and experienced Data Software Engineer to join our team and contribute to building data-centric applications.

You will utilize advanced Big Data tools, cloud technologies, and collaborate across teams to develop innovative solutions addressing complex business needs.

Responsibilities

• Construct and extend data software applications leveraged by Data Integration Engineers
• Deliver analytical solutions with Spark, PySpark, NoSQL, and other Big Data technologies
• Optimize data workflows by integrating AWS cloud services and features
• Work with product and engineering stakeholders to collect insights and enable decision-making
• Coordinate with architects, technical leads, and other teams to keep solutions aligned
• Analyze business needs and existing technical environments to produce suitable implementations
• Review code to uphold best practices and ensure consistently high-quality output
• Verify solutions through functional, technical, and performance testing
• Create clear project documentation for future development and reference
• Consult with clients to understand objectives and provide technical recommendations

Requirements

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a comparable field
• 2+ years of experience in Data Software Engineering using Big Data technologies
• Strong foundation in data engineering topics including data management, storage, visualization, operations, and security
• Thorough understanding of ingestion pipelines, Data Warehousing, and Data Lakes
• Proficiency in at least one of Python, Java, Scala, or Kotlin
• Demonstrated expertise with SQL plus NoSQL databases
• Hands-on skills with Spark and PySpark within modern Big Data ecosystems
• Background delivering solutions on AWS, including Glue and RedShift
• Understanding of CI/CD workflows for integration and deployment
• Working familiarity with Docker, Kubernetes, and Yarn in containerized environments
• Capability with Databricks for advanced analytics and engineering tasks
• Strong communication skills in English, meeting at least a B2 proficiency level

Nice to have

• Experience with Hadoop, Hive, and Flink or other Big Data tools
• Familiarity with SDLC methodologies, particularly Agile
• Skills in executing and overseeing SDLC implementation end to end

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