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 searching for a talented Data Engineer with solid experience in building and supporting modern cloud-based data platforms.
The adecuado candidate brings hands‑on expertise with Google BigQuery, Python, and Apache Airflow, and takes genuine interest in crafting scalable data pipelines, refining data processing workflows, and empowering data‑driven decision‑making throughout the organization. The right person will feel at home in an Agile setting, teaming up with data analysts, software engineers,



product teams, and stakeholders to produce dependable and efficient data solutions. We appreciate proactive individuals who show ownership, sharp problem‑solving skills, and a continuous improvement outlook.
Responsibilities
- Architect, build, and support scalable data pipelines along with ETL/ELT processes
- Construct and refine data solutions leveraging Google BigQuery
- Create data processing and automation workflows with Python
- Set up, schedule, monitor, and diagnose workflows using Apache Airflow
- Safeguard data quality, reliability, and consistency across a variety of data sources
- Fine‑tune query performance, storage usage, and overall platform efficiency
- Work with business and technical stakeholders to capture data requirements and turn them into scalable solutions
- Put in place monitoring, alerting, and operational best practices for data pipelines
- Contribute to data gov

📌 Data Engineer (Colombia)
🏢 EPAM Systems
📍 Colombia