Note: The job is a remote job and is open to candidates in USA. 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
Skills
- 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
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
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