Data Software Engineering & 9 others
EPAM Systems
Software Engineering
Colombia · Remote
Posted on Nov 19, 2025
Responsibilities
- Build and maintain efficient data pipelines to enable seamless data transformation and processing
- Design scalable data infrastructures that support business analytics and reporting needs
- Partner with stakeholders to gather requirements and develop technical solutions that meet business goals
- Enhance and manage data workflows to ensure reliability and optimal performance
- Handle structured and unstructured data to facilitate smooth integration between various systems
- Monitor data systems, troubleshoot issues, and ensure data accuracy and consistency
- Implement security measures to safeguard sensitive data and maintain compliance with applicable regulations
- Perform code reviews to ensure adherence to best practices and high-quality deliverables
- Keep up to date with new technologies and trends to improve data engineering practices and solutions
Requirements
- Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related discipline
- A minimum of 3 years of hands-on experience as a data engineer with a strong focus on delivering scalable data solutions
- Advanced skills in Python for automation, scripting, and data processing
- Experience with Amazon Web Services (AWS) for building and managing cloud-based data systems
- Proficiency in Snowflake for managing data warehouses and supporting analytics workflows
- Strong expertise in SQL for data querying, transformation, and analysis in relational databases
- Familiarity with NoSQL databases for managing non-relational or semi-structured data
- Hands-on experience with CI/CD pipelines for automating data workflows and deployments
- Comprehensive knowledge of SDLC methodologies and experience applying them in data-related projects
- Practical experience working in Agile frameworks to deliver iterative and collaborative solutions
- Fluency in English (written and spoken) at a professional B2 level or higher
Nice to have
- Experience using data visualization tools or libraries to support reporting and business insights
- Knowledge of machine learning or artificial intelligence models to enhance decision-making and analytics
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