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This article introduces the relevant knowledge of "big data employment difficulties". In the operation process of actual cases, many people will encounter such difficulties. Next, let Xiaobian lead you to learn how to deal with these situations! I hope you can read carefully and learn something!

Is Big Data easy to find? Is it difficult to find employment? At present, the big data industry is developing rapidly, and our life and work are inseparable from big data everywhere. With big data growing so rapidly, worrying about big data employment is completely unfounded. If the small partners who learn big data really feel that it is difficult to find a job, they should reflect on where their ability is lacking. After all, whether it is from the talent gap of big data, or the employment scope and the choice of jobs, the employment of big data will not be difficult.

1. Large talent gap

With the rapid development of information industry, the demand for talents in the industry is also expanding year by year. According to domestic authoritative statistics, in the next five years, the total demand for information talents in China will reach 15 - 20 million. Taking big data analysis as an example, the demand for big data talents in China is increasing at an annual rate of 20%, with nearly one million new demands every year. Judging from the employment prospects of big data, the development of China's big data industry is still on a steady upward trend in recent years. With the support of policies and the participation of capital, the scale of China's big data will continue to grow in the next few years. Generally speaking, the big data talent market is saturated and big data-related talents are scarce.

2. Wide range of employment

Almost everyone's work and life are inseparable from big data, which has been widely penetrated into all aspects of people's daily life. Enterprises that provide products or services to a large number of consumers need to use big data for precision marketing; small enterprises can use big data for service transformation; traditional enterprises can use big data for optimization. At present, medical industry, energy industry, communication industry, retail industry, financial industry, sports industry and other industries can produce huge economic value from their data collection, transmission, storage, analysis and other links, so the employment scope of big data can be said to be very broad.

3. Diversified employment positions

Learning big data can be engaged in many jobs, such as: hadoop R & D engineer, big data R & D engineer, big data analysis engineer, database engineer, hadoop operation and maintenance engineer, big data operation and maintenance engineer, java big data engineer, spark engineer and so on are all jobs we can engage in! Different positions have different technical knowledge and need to learn from all directions.

4. Good salary treatment

With the rapid development of the market economy today, the big data industry has become one of the most promising high-paying industries with its strong development momentum. Big data talents such as big data analysis and big data development will become talents in short supply in the market, with good development prospects and rising salary levels. According to relevant data, the big data industry is currently the industry with the highest average income, with the average annual salary of its employees exceeding 100,000 yuan, and the average annual salary of experienced big data engineers is generally more than 120,000 yuan.

This is the analysis of big data employment. Finally, it is emphasized that no matter how the big data industry itself develops, job seekers can only be invincible in the workplace if they have their own skills. Therefore, instead of worrying about the prospects of industry development, it is better to learn more about the core technology of big data and improve your professional competitiveness.

The content of "Big Data Employment Difficulty" is introduced here. Thank you for reading it. If you want to know more about industry-related knowledge, you can pay attention to the website. Xiaobian will output more high-quality practical articles for everyone!

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