This talk will provide an overview of distributed system design principles and their applications in data engineering. We will discuss the challenges and considerations that come with building and maintaining large-scale data systems and how to overcome these challenges by using distributed system design. Topics covered include: - Data partitioning and replication - Fault tolerance - Scalability and data consistency Real-world examples of distributed systems are used to illustrate best practices