Senior 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 looking for a skilled Senior Data Engineer with strong experience in building and maintaining modern cloud-based data platforms. The ideal candidate has hands-on expertise with Google BigQuery, Python, and Apache Airflow, and is passionate about designing scalable data pipelines, optimizing data processing workflows, and enabling data-driven decision-making across the organization. The successful candidate will be comfortable working in an Agile environment, collaborating with data analysts, software engineers, product teams, and stakeholders to deliver reliable and efficient data solutions. We value proactive individuals who demonstrate ownership, problem-solving skills, and a continuous improvement mindset. Responsibilities Design, develop, and maintain scalable data pipelines and ETL/ELT processesBuild and optimize data solutions using Google BigQueryDevelop data processing and automation workflows using PythonCreate, schedule, monitor, and troubleshoot workflows using Apache AirflowEnsure data quality, reliability, and consistency across multiple data sourcesOptimize query performance, storage utilization, and overall platform efficiencyCollaborate with business and technical stakeholders to understand data requirements and translate them into scalable solutionsImplement monitoring, alerting, and operational best practices for data pipelinesSupport data governance, security, and compliance initiativesContribute to technical documentation, knowledge sharing, and engineering best practicesParticipate in code reviews, design discussions, and Agile ceremonies Requirements At least 3 years of professional relevant experience in data engineeringStrong experience with Python development for data engineering and automation tasksHands-on experience with Google BigQuery, including data modeling, performance optimization, and query tuningPractical experience designing and maintaining Apache Airflow workflowsSolid understanding of ETL/ELT concepts and modern data architecturesStrong SQL skills with experience working on large-scale datasetsBackground integrating data from multiple sources, including APIs, databases, and cloud servicesUnderstanding of data warehousing concepts and dimensional modelingExperience with version control systems such as GitFamiliarity with CI/CD practices and deployment automationStrong analytical and troubleshooting capabilitiesGood communication skills and ability to work effectively within cross-functional teamsExperience working in Agile/Scrum environmentsEnglish at B2 level or higher, with strong written and verbal communication skills Nice to have Knowledge of data orchestration, observability, and monitoring toolsExperience with containerization technologies such as DockerExposure to machine learning data pipelines or MLOps conceptsExperience leveraging 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 and LinkedIn EPAM is an Equal Opportunity