2 days ago Be among the first 25 applicants Get AI-powered advice on this job and more exclusive features. 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 an experienced remote Senior Big Data Engineer with expertise in Databricks to lead our team of data engineers and take responsibility for designing and implementing data management solutions. The successful candidate will be familiar with cloud-based data pipeline development and have experience building optimal data infrastructure solutions. Responsibilities Lead a team of data engineers, organize teamwork, and solve technical and non-technical challenges Design key software components of the data platform, and build collaborative partnerships with architects and technical leads Create and maintain optimal on-prem and cloud-based data pipeline architectures capable of ingesting structured and unstructured data using batch & streaming methods Assemble large, complex data sets that meet functional and technical requirements, and develop data flows that can leverage both on-premise and cloud architectures Work with stakeholders to assist with data-related technical issues and support their data infrastructure needs Requirements Bachelor's degree in Computer Science, Information Systems, or another applicable field is preferred At least 3 years of experience in a Data Engineer role Advanced working knowledge of cloud-based data pipeline development, particularly on AWS Experience building and optimizing data pipelines for data acquisition and management Expertise in Databricks, Python, SQL, and AWS B2+ English level Nice to have Understanding of message queuing, stream processing, and Change Data Capture mechanisms 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 Seniority level Mid-Senior level Employment type Full-time Job function Engineering, Information Technology, and Business Development Industries Software Development, IT Services and IT Consulting, and Financial Services #J-18808-Ljbffr