What is the big data talent gap? Is Data Big Data engineers well employed? This is what everyone cares most about when learning big data.

Let me tell you, Big Data engineers have an annual salary of more than 0.5 million and a technical staff gap of 1.5 million. In the future, high-end technical talents will be snapped up by enterprises. Big Data is aimed at higher talent scarcity, higher salaries, and higher salaries. Next, we will analyze the Big Data talent shortage and the employment of Data engineers.

There is a shortage of talents behind high salaries. According to mainstream data media surveys, only 0.46 million of big data talents are currently available nationwide, and the big data talent gap will reach 1.5 million in the next three to five years. Some institutions have predicted the salary range and job-hopping increase of Hot Jobs in the Chinese science and technology field in first-tier cities in 2018:

Big Data has a high degree of talent scarcity. In the case of the same service life, big data engineers generally have a higher salary and their salary increases by more than other positions. Data mining engineers can increase by more than 50%, with an annual salary of 40.

As the "Giant Panda" in the big data position, big data engineers can say that their income has reached the top level of similar products.

As a high-paying job with less people and less money, the skill map that big data development engineers need to master is also very challenging. If you make a mind map, it looks like this:

According to news, father of Google tuhao acquired another company. For a long time, Google has been committed to promoting its enterprise business around googlecloud, but it has been suspended by Amazon and Microsoft in this regard. This acquisition aims to make up for its own shortcomings.

The acquired caskdata is a startup that specializes in providing hadoop-based large-scale data analysis service solutions. Based on this, Google further strengthens its big data analysis capabilities.

In addition to the full deployment of big data by international giants such as Google, Microsoft, Amazon, and IBM, domestic enterprises are also actively investing in big data, large enterprises such as BAT and entrepreneurial enterprises that have sprung up have entered the game.

10% of it, communication, and industry recruitment in China are related to big data, and the proportion is still rising. A huge talent gap directly leads enterprises to hire Big Data talents with high salaries:

Among the newly-added Colleges and Universities listed by the Ministry of Education, 32 colleges and universities have become the second batch of colleges and universities that have successfully applied for "Data Science and big data technology. From the list of two approved "Data Science and Big Data Technology Majors", we can see that this major has a four-year academic or scientific degree. Big data, which is standing on the Internet, has pushed the big data major in the university.

The first batch of colleges and universities that successfully applied for this major were Peking University, University of foreign economics and trade, and Central South University. They were approved by the Ministry of Education in February 2016.

Three major technical directions in the big data field: direction 1, hadoop big data development direction; Direction 2, data mining, Data Analysis & machine learning direction; direction 3: Big Data O & M and cloud computing. If you are proficient in any direction, there will be no space in the "front (money)" way.

What is the big data talent gap? Is Data Big Data engineers well employed? The answer is: Big Data development is the foundation and has broad job prospects. For example, a hadoop Development Engineer has a monthly salary of more than 8 KB, 1 year working experience of more than 0.3 million, and 2-3 years working experience of 0.5 million-RMB, big Data Processing is usually required by big companies. Learning big data is also a shortcut to big companies.

Many beginners are confused about the concept of big data, such as what big data is, what it can do, how it is learned, and how it develops, if you want to learn more, please join the big data learning QQ group: 458345782 and share a large number of dry goods (basic and advanced classic practices) with us, in addition, senior Big Data lecturers from Tsinghua University will teach you free of charge and share with you the most complete and practical Big Data learning process system in China.

What is the big data talent gap? Is Data Big Data engineers well employed? This is what everyone cares most about when learning big data.