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 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.ResponsibilitiesConstruct and extend data software applications leveraged by Data Integration EngineersDeliver analytical solutions with Spark, PySpark, NoSQL, and other Big Data technologiesOptimize data workflows by integrating AWS cloud services and featuresWork with product and engineering stakeholders to collect insights and enable decision-makingCoordinate with architects, technical leads, and other teams to keep solutions alignedAnalyze business needs and existing technical environments to produce suitable implementationsReview code to uphold best practices and ensure consistently high-quality outputVerify solutions through functional, technical, and performance testingCreate clear project documentation for future development and referenceConsult with clients to understand objectives and provide technical recommendationsRequirementsBachelor’s or Master’s degree in Computer Science, Software Engineering,



or a comparable field2+ years of experience in Data Software Engineering using Big Data technologiesStrong foundation in data engineering topics including data management, storage, visualization, operations, and securityThorough understanding of ingestion pipelines, Data Warehousing, and Data LakesProficiency in at least one of Python, Java, Scala, or KotlinDemonstrated expertise with SQL plus NoSQL databasesHands‑on skills with Spark and PySpark within modern Big Data ecosystemsBackground delivering solutions on AWS, including Glue and RedShiftUnderstanding of CI/CD workflows for integration and deploymentWorking familiarity with Docker, Kubernetes, and Yarn in containerized environmentsCapability with Databricks for advanced analytics and engineering tasksStrong communication skills in English, meeting at least a B2 proficiency levelNice to haveExperience with Hadoop, Hive, and Flink or other Big Data toolsFamiliarity with SDLC methodologies, particularly AgileSkills in executing and overseeing SDLC implementation end to endWe offerInternational projects with top brandsWork with integral teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedInEPAM 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.#J-18808-Ljbffr

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