(1) Big Data System R&D Engineer: responsible for big data system research and development work, including large-scale unstructured data business model construction, big data storage, database architecture design, and database detailed design, optimize database architecture, and solve the database center construction and design problems. They are also responsible for the daily operation of the cluster, monitoring and configuration of the system, and integration of Hadoop with other systems.

(2) Big Data Application Development Engineers: are responsible for building big data application platforms and developing analytic applications. They are familiar with tools or algorithms, programming, packaging, optimizing or deploying different MapReduce transactions. They develop various applications and industry solutions based on big data technology.

(3) Big Data Analysts: use algorithms to solve analytical problems and work on data mining. Their greatest skill is the ability to make data tell the truth; in addition, they also have a certain field of expertise to help develop data products and promote the continuous updating of data solutions.

(4) Data Visualization Engineers: have good communication skills and team spirit, strong sense of responsibility, and possess excellent problem-solving skills. They are responsible for the application of graphical tools and instruments in the collected high-quality data to reveal the complex information in the data at a glance