Data Engineering is the practice that enables data-driven decision-making by collecting, transforming and publishing data. Data Engineers design, build, operationalize, secure, and monitor data processing systems, focusing on security and compliance, scalability and efficiency, reliability and fidelity, flexibility and portability. 

This training program has been developed for motivated beginners possessing basic knowledge of Java or Python.

You will familiarize yourself with main characteristics of big data and its sources; get acquainted with architectural requirements, principles of big data infrastructures, and the intersection of cloud computing with big data. You will also learn the most popular big data technologies, including core Hadoop, NoSQL databases, Apache Spark, Apache Kafka, etc.

The program includes self-paced part and final testing.

During the self-paced part of the program, you will study theory and check your knowledge by completing assigned tasks. Due to build-in instructions you will be able to navigate your learning path smoothly. Following the completion of your studies, you will move on to the final testing. You must score 70% or above and have B2 or higher English level to pass it.

After completing this program, successful graduates will get an opportunity to continue their path within EPAM according to their level, skills, and available opportunities for future juniors.