Note: The job is a remote job and is open to candidates in USA. EPAM Systems is seeking a highly skilled and experienced Data Software Engineer to assist in creating data-centric applications. The role involves leveraging advanced Big Data tools and cloud technologies while collaborating with various teams to deliver innovative solutions for complex business challenges.

Responsibilities

• Build and improve data software applications used by Data Integration Engineers
• Develop and release advanced analytical solutions using Spark, PySpark, NoSQL, and other Big Data tools
• Implement cloud-based capabilities on AWS to streamline and optimize data workflows
• Collaborate with product and engineering teams to gather input and support data-informed decisions
• Align with architects, technical leads, and partner teams to deliver consistent end-to-end solutions
• Evaluate business requirements and technical landscapes to propose appropriate technical implementations
• Perform code reviews to reinforce best practices and maintain high code quality
• Test and validate solutions against functional, technical, and performance expectations
• Document deliverables thoroughly to support future maintenance and enhancements
• Engage with clients to capture requirements and provide expert technical guidance

Skills

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related discipline
• Relevant experience in Data Software Engineering with 2+ years working with Big Data technologies
• Solid understanding of data engineering fundamentals such as data management, storage, visualization, operations, and security
• Deep knowledge of data ingestion pipelines, Data Warehousing, and Data Lakes
• Hands-on programming skills in Python, Java, Scala, or Kotlin
• Proven ability with SQL and NoSQL databases
• Practical expertise in Big Data tooling, especially Spark and PySpark
• Experience designing and deploying solutions on AWS, including Glue and RedShift
• Working knowledge of CI/CD pipelines and deployment workflows
• Familiarity with containerization and tools such as Docker, Kubernetes, and Yarn
• Experience using Databricks for advanced data analytics and engineering
• English proficiency at B2 (Upper-Intermediate) level or higher, written and spoken
• Exposure to additional Big Data tools such as Hadoop, Hive, and Flink
• Knowledge of SDLC methodologies with an emphasis on Agile practices
• Ability to implement and manage SDLC processes effectively

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

Company Overview

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