We are looking for a remote Senior Big Data Engineer with Databricks expertise to join our team. The ideal candidate should have a Bachelor's/Master's Degree in Computer Science, Information Systems, or equivalent with at least 3 years of experience in Data Software Engineering, DSE Python, and AWS Databricks. Responsibilities Develop and implement solutions utilizing Data Lake Build event-driven scalable and resilient systems Thorough understanding of information systems, business processes, and key drivers and measures of success while choosing the proper methodologies and policies to support broad business goals Contribution to disaster recovery planning and execution Participate in the design and implementation of data warehousing solution Requirements Bachelor's/Master's Degree in Computer Science, Information Systems or equivalent At least 3 years of experience in Data Software Engineering, DSE Python, and AWS Databricks Proficient with software development lifecycle (SDLC) methodologies like Agile, Test-driven development Experience with SQL and NoSQL databases, advanced SQL is required Experience with Big Data platforms such as Apache Hadoop and Apache Spark, Databricks B2+ English level Nice to have Experience with Apache Airflow Expertise in building event-driven scalable and resilient systems We offer/Benefits - 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