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. Our team is seeking a Senior Data DevOps Engineer with Azure experience to lead the enhancement and maintenance of our data infrastructure and workflows. You will design, implement, and manage scalable data solutions on the Azure cloud platform, collaborating closely with data engineers and cross-departmental teams to ensure the robustness and efficiency of data pipelines. If you are passionate about data infrastructure, apply to join us. Responsibilities Plan, deploy, and manage data infrastructure using Azure tools including ADLSv2, Databricks, Synapse, and Data Factory Coordinate with data engineering teams to develop and maintain effective data pipelines and workflows Use Python to automate data processes for increased efficiency and reliability Establish and support CI/CD pipelines utilizing Jenkins, GitHub Actions, or similar Collaborate with cross-functional teams to improve system scalability, reliability, and performance Deploy and manage data processing tools like Apache Spark and Kafka in cloud and on-premises contexts Monitor data systems to identify and address performance and scalability challenges proactively Troubleshoot complex issues in data platforms and pipeline environments Requirements 3+ years of relevant experience in Data Engineering or related fields Strong Python programming skills focused on batch processing workflows Advanced SQL expertise for querying and managing large datasets Proficient with Azure cloud services for data infrastructure management Experienced with Infrastructure as Code tools such as Ansible, Terraform, or CloudFormation Proven ability to set up and manage CI/CD pipelines using Jenkins, GitHub Actions, or similar tools Familiarity with data management tools like Spark, Airflow, or R Strong Linux knowledge including scripting and system administration Good understanding of network protocols including TCP, UDP, ICMP, DHCP, DNS, and NAT English proficiency at B2+ level, spoken and written Nice to have Experience with other cloud platforms such as AWS or GCP Knowledge of Kubernetes for managing containerized data workflows Understanding of monitoring and observability tools like Prometheus, Grafana, or Azure Monitor Exposure to Big Data technologies and advanced analytics workflows Experience with cloud data security and governance practices We offer International projects with top brands Work with global teams of highly skilled, diverse peers 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 #J-18808-Ljbffr