We are looking for a highly skilled and experienced Data Software Engineer to join our team and assist in creating data-centric applications.
You will leverage advanced Big Data tools, cloud technologies, and collaborate 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
Requirements
- 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
Nice to have
- 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
We offer/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
EPAM is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, disability, protected veteran status, or any other characteristic protected by applicable law.
