Data Engineer

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.

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

Nice to have

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

We offer

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

EPAM is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, disability, protected veteran status, or any other characteristic protected by applicable law.

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