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. We are searching for a talented Data Engineer with solid experience in building and supporting modern cloud-based data platforms. The ideal 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 processesConstruct and refine data solutions leveraging Google BigQueryCreate data processing and automation workflows with PythonSet up, schedule, monitor, and diagnose workflows using Apache AirflowSafeguard data quality, reliability, and consistency across a variety of data sourcesFine-tune query performance, storage usage, and overall platform efficiencyWork with business and technical stakeholders to capture data requirements and turn them into scalable solutionsPut in place monitoring, alerting, and operational best practices for data pipelinesContribute to data governance, security, and compliance initiativesAdd to technical documentation, knowledge sharing, and engineering best practicesTake part in code reviews, design discussions, and Agile ceremonies Requirements No less than 2 years of professional relevant experience in data engineeringStrong background in Python development for data engineering and automation activitiesApplied experience with Google BigQuery, including data modeling, performance tuning, and query optimizationPractical background in designing and supporting Apache Airflow workflowsSolid grasp of ETL/ELT concepts and modern data architecturesConfident SQL skills with hands-on experience handling large-scale datasetsTrack record of integrating data from a variety of sources such as APIs, databases, and cloud servicesUnderstanding of data warehousing concepts and dimensional modelingWorking experience with version control systems such as GitFamiliarity with CI/CD practices and deployment automationStrong analytical thinking and troubleshooting abilitiesGood communication skills together with the ability to collaborate effectively within cross-functional teamsBackground working in Agile/Scrum environmentsEnglish at B2 level or higher, with strong written and spoken communication skills Nice to have Familiarity with data orchestration, observability, and monitoring toolsPractical experience with containerization technologies such as DockerExposure to machine learning data pipelines or MLOps conceptsApplied use of AI-assisted development tools such as GitHub Copilot, Gemini, or similar solutions We offer International projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek an