We are searching for a talented Data Engineer with solid experience in building and supporting modern cloud-based data platforms.
The idóneo 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 governance, security, and compliance initiatives
- Add to technical documentation, knowledge sharing, and engineering best practices
- Take part in code reviews, design discussions, and Agile ceremonies

Requirements
- No less than 2 years of professional relevant experience in data engineering
- Strong background in Python development for data engineering and automation activities
- Applied experience with Google BigQuery, including data modeling, performance tuning, and query optimization
- Practical background in designing and supporting Apache Airflow workflows
- Solid grasp of ETL/ELT

📌 Data Engineer (Colombia)
🏢 EPAM Systems
📍 Colombia