[Remote] Data Software Engineer
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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