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

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
- Integral career opportunities
- Volunteer and community involvement opportunities
- EPAM Employee Groups
- Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn

📌 Data Software Engineer (Colombia)
🏢 EPAM Systems
📍 Colombia