Is the employment prospect of big data good?

The employment prospects of big data are very broad.

In recent years, with the development of information technology and data industry, the social demand for big data-related professionals continues to rise, but the number of real big data professionals in China is very small. Such an imbalance between supply and demand will lead to a large talent gap in the data industry, and big data engineers will usher in broad employment prospects.

Big data is similar. The older you get, the more popular you become. The more practical experience you have, the longer your career can develop and the greater your self-worth. The future development prospect of big data is worthy of recognition, and now there is a shortage of big data talents.

The areas with active job market in big data industry are mainly concentrated in Beijing-Tianjin-Hebei, Yangtze River Delta, Pearl River Delta, Chengdu-Chongqing and other regions. However, judging from the current recruitment data, big data talents still cannot meet the market demand, so it is very good to learn the future development prospects of big data.

Employment direction of big data

1, big data development engineer

Big data development engineer comes down to one word: statistics. Simplify it into two kinds of indicators: PV and UV, and simplify it into one sentence: count PV and UV of various indicators. Of course, the specific work is not that simple, but also requires practitioners to have knowledge of hadoop, spark, kafka, python and other applications.

2.Hadoop development engineer

The explosive growth of data in the information age makes the data scale larger and larger, and the data processing cost of traditional BI (business intelligence) soars, which increases the burden on enterprises. Hadoop's cheap data processing ability has been re-excavated, and enterprise demand continues to grow.

3. Information Architecture Engineer

Information architects need to know how to define and document key elements to ensure that data is managed and utilized in the most effective way. Key skills of an information architect include master data management, business knowledge and data modeling. Of course, this is the job of an information architecture engineer.