The main task of big data collection engineers is to complete the collection, organization and storage of data, although the overall technical content is not too high, but the knowledge involved is relatively broad. Since the main data collection channels of big data currently include the Internet of Things, the Internet and traditional information systems, big data collection engineers also need to master these related technologies, for example, to master how to complete network information extraction through program design. In addition, the organization and storage of data also requires knowledge of various databases (including NoSql databases), as well as cloud computing-related knowledge. For IT industry practitioners with a network foundation, transforming into a big data collection engineer or big data operation and maintenance engineer is a good choice.
The main work of big data analysis engineers is to analyze and present big data, and big data analysis currently has two main ways, respectively, the statistical way and the machine learning way, so in order to engage in the position of big data analysis engineers, you need to have a solid foundation in mathematics and programming. Many math majors and statistics majors in the workplace, you can consider transitioning to big data analytics engineer positions, the current demand for talent in this position is still relatively large.
The big data development engineer mainly accomplishes two tasks, one is to carry out big data platform development, and the other is to carry out big data application development. In the case of the current big data technology system is gradually mature, big data application development jobs will be in greater demand, compared to big data platform development, big data application development is more focused on the combination of application scenarios. For the majority of programmers (Java programmers, Python programmers), it will be easier to turn to big data development engineer positions.