1. Provide big data services for products involving big data technology and design and implement big data application business.

2. Continuously improve existing big data technologies to enhance the support level of big data services.

3. Responsible for data development and processing in data analysis projects.

4. Collaborate with business departments for data analysis.

5. Responsible for writing technical documentation.

1. Bachelor's degree or above in Computer Science, Software Engineering, Statistics, or related fields;

2. Familiarity with SQL, HiveQL, etc., and proficiency in scripting languages such as Python/hell;

3. Proficient in the core architecture of Flink (JobManager/TaskManager), state management (State Backends), checkpoints (Checkpoint/Savepoint), and fault tolerance mechanisms;

4. Familiar with Flink SQL/Table API, capable of building real-time data warehouses and integrated stream-batch solutions based on Flink;

5. Proficient in at least one programming language (Java/Scala/Python), familiar with multithreading and high-concurrency programming;

6. Familiarity with big data platform components (CDH, HADOOP, KAFKA, HIVE, YARN, HDFS, SPARK, Flink), understanding of underlying design principles;

7. Familiar with OLAP engines (such as Doris, Presto), real-time computing, and integrated batch-stream technology stacks;

8. Experience in machine learning/data analysis is preferred (e.g., Spark ML, TensorFlow application scenarios);

9. Good communication skills, proactive thinking, and strong execution ability;