The Data Development Engineer is responsible for developing offline and real-time processing systems for the Data Technology Center. This includes writing and archiving project development documentation and participating in discussions and understanding of business requirements. The ideal candidate should possess experience with Hive and Flink for real-time processing, be familiar with storage systems like Redis, MySQL, and ClickHouse, and be proficient in programming languages such as Java, Python, and Shell. The candidate should also have experience with large-scale data processing, high concurrency, or distributed systems, and have experience in backend service optimization. Strong communication and logical thinking skills are required.