EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture.

Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential. 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 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 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.

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