1, big data development engineer
Development, construction, testing and maintenance of the architecture, responsible for the company's big data platform development and maintenance, responsible for the continuous integration of big data platform related to the architectural design of the tool platform and product development.
2, Data Analyst
Collects, processes, and performs analysis of statistical data; applies tools to extract, analyze, and present data to achieve business significance of the data, requiring business understanding and tool application skills.
3, data mining engineers
Data modeling, machine learning and algorithm implementation; business intelligence, user experience analysis, prediction of churning users, etc.; need to be good at math and statistics skills, in addition to the algorithms, the code implementation of the algorithms also has a high demand.
4, data architect
Requirements analysis, platform selection, technical architecture design, application design and development, testing and deployment; advanced algorithmic design and optimization; data-related system design and optimization, platform-level development and architectural design capabilities. Chengdu Gamigu big data training institute, big data development, data analysis and mining.
5, Database Development
Design, develop, and implement database systems based on customer needs, connect databases and database tools through ideal interfaces, optimize the performance efficiency of database systems, etc.
6, database management
Database design, data migration, database performance management, data security management, troubleshooting issues, data backup, data recovery, etc..
7, data scientists
Data mining architecture, model standards, data reporting, data analysis methods; use of algorithms and models to improve the efficiency of data processing, mining the value of data, and to achieve the conversion from data to knowledge.
8, data product manager
Combine data and business into data products; platform line to provide the basic platform and common data tools, business line to provide closer to the business of the analytical framework and data applications.