Data Engineer

EPAM Systems is searching for a talented Data Engineer with solid experience in building and supporting modern cloud-based data platforms. The ideal candidate will have hands-on expertise with Google BigQuery, Python, and Apache Airflow, focusing on crafting scalable data pipelines and empowering data-driven decision-making throughout the organization.

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 concepts and modern data architectures
• Confident SQL skills with hands-on experience handling large-scale datasets
• Track record of integrating data from a variety of sources such as APIs, databases, and cloud services
• Understanding of data warehousing concepts and dimensional modeling
• Working experience with version control systems such as Git
• Familiarity with CI/CD practices and deployment automation
• Strong analytical thinking and troubleshooting abilities
• Good communication skills together with the ability to collaborate effectively within cross-functional teams
• Background working in Agile/Scrum environments
• English at B2 level or higher, with strong written and spoken communication skills
• Familiarity with data orchestration, observability, and monitoring tools
• Practical experience with containerization technologies such as Docker
• Exposure to machine learning data pipelines or MLOps concepts
• Applied use of AI-assisted development tools such as GitHub Copilot, Gemini, or similar solutions