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This article will explain in detail what engineer big data is mainly responsible for doing. The editor thinks it is very practical, so I share it with you as a reference. I hope you can get something after reading this article.

Big data engineers mainly mine, analyze, calculate and provide important support for enterprises to make business decisions and explore business models. The daily life of big data development engineers can be refined into three stages: finding out the characteristics of past events, predicting what may happen in the future, and finding optimal results.

The development of big data has actually become relatively mature abroad. Engineer big data, also known as a data scientist abroad, mainly provides a more accurate decision-making basis for enterprise business through data value mining. Big data engineers are already creating value in the telecommunications, retail, financial, manufacturing, logistics, medical, education and other industries.

What does big data development engineer do?

What big data development engineers do, from a more written definition, is to mine, analyze, calculate and provide important support for enterprises to make business decisions and explore business models. It's a simple sentence, but the daily work involved is not simple.

The daily life of big data development engineers can be refined into three stages-finding out the characteristics of past events, predicting what may happen in the future, and finding optimal results. Among these three, complement each other, senior big data development engineer, can carry out these actions very skillfully.

To find out the characteristics of past events, the greatest role is to help enterprises better understand consumers. By analyzing the trajectory of a user's past behavior, we can understand this person and predict his behavior.

By introducing key factors, engineer big data can predict future consumption trends. Take e-commerce as an example, introduce meteorological data to guide e-commerce sales, for example, if it is not hot this summer, some products may not sell as well as last year, except air conditioners, electric fans, vests, swimsuits and so on.

Big data engineers can achieve different goals through data analysis. In the past, decision makers could only make judgments based on experience, but now engineer big data can provide data support for them.

The work of big data engineer in China:

In China, the application development of big data has just begun to fall to the ground, and it is not mature enough. On the one hand, the number of big data talents is insufficient, on the other hand, there is a shortage of senior big data talents. Industry professionals commented: in China, you can hardly expect a generalist to complete all the links in the whole chain. More companies will recruit people who can complement their existing teams according to their existing resources and shortcomings.

And what big data engineers mainly do can also be seen from this evaluation. Domestic enterprises that recruit big data talents, each company has different requirements for big data's work: some emphasize database programming, some highlight the knowledge of applied mathematics and statistics, some require relevant experience in consulting firms or investment banks, and some hope to find applied talents who understand products and markets.

Many companies will give this group of people who deal with big data some new titles and definitions according to their business types and team division of labor: data mining engineer, big data expert, data researcher, user analyst, etc. In fact, all the people engaged in these jobs can be called big data engineers.

Moreover, in a mature data-driven company, "big data engineer" is often a team, which means that from the whole process of data collection, collation and presentation, analysis and business insight, to market transformation, each big data engineer may be responsible for some part of it. Zero-based career transfer to learn big data skills, Gamigu big data training and learning.

This is the end of the article on "what are big data engineers mainly responsible for?". I hope the above content can be helpful to you, so that you can learn more knowledge. if you think the article is good, please share it for more people to see.

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