What positions do big data development engineers have?

1, big data development engineer: develop, build, test and maintain the architecture; Responsible for the development and maintenance of the company's big data platform, and responsible for the architecture design and product development of the big data platform for continuous integration of related tool platforms.

2. Data analyst: collecting, processing and performing statistical data analysis; Using tools to extract, analyze and present data and realize the commercial significance of data requires business understanding and tool application ability.

3. Data mining engineer: data modeling, machine learning, algorithm implementation; Business intelligence, user experience analysis, prediction of lost users, etc. In addition to excellent knowledge of mathematics and statistics, there are also high requirements for the code implementation of the algorithm.

4. Data architect: requirements analysis, platform selection, technical architecture design, application design and development, test deployment; Advanced algorithm design and optimization; The design and optimization of data-related systems require platform-level development and architecture design capabilities.

5. Database development: Design, develop and realize a database system according to customer's needs, and connect the database and database tools through an ideal interface to optimize the performance and efficiency of the database system.

6. Database management: database design, data migration, database performance management, data security management, troubleshooting, data backup, data recovery, etc.

7. Data scientist: data mining architecture, model standards, data reporting and data analysis methods; Using algorithms and models to improve the efficiency of data processing, tap the value of data and realize the transformation from data to knowledge.

8. Data product manager: combine data with business to make data products; The platform line provides the basic platform and general data tools, while the business line provides the analysis framework and data application closer to the business.