Domestic IT, telecommunications, industry recruitment, 10% of all relevant data and large, and the proportion is rising. Huge talent gap led directly to the respective companies have hired big data talent:
The above data collation from pull hook Network
According to the latest release of "big data talent report" shows that the country's big data talent only 460,000, the next 3--5 years, big data talent gap will reach 1.5 million, while in BAT Recruitment jobs where more than 60% We are hiring big data talent.
Behind the highly paid talent shortage, an institution of first-tier cities in 2018 domestic popular science and technology jobs pay range, and quit gains were predicted: Big Data direction due to a higher degree of scarcity of talent, work experience under the same circumstances, Big Data Engineer generally higher salaries, benefits will increase more than other jobs.
With the outbreak of large data, the Chinese IT industry environment will face a new round of reshuffle, not only businesses, but also the opportunities of employees in transition can be met without resort. If IT people than unity is the greatest wave of seafarers as a boat, big data, and by whom the wave of the trend can be successful transition from IT programmer become a big data specialist.
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1
Well, Big Data Engineer career path is what?
Big Data Engineer career path is divided into five phases, each corresponding to the position and the salary is not the same:
The first stage:
Engineering intern, first year of work, salary greater than 6K;
second stage:
Assistant engineer, there are 1--2 years work experience, monthly salary of 13K - 20K;
The third phase:
Early, mid-level engineers, three years of work experience, monthly salary of 20 - 35K;
The fourth stage:
Senior Engineer 3--5 years of work experience, monthly salary of 30 - 50K;
Fifth stage:
Chief Engineer / Architect, salary greater than 50k;
The salary is very competitive, which is why so many students to study large data development technology.
2
So, how to become a good programmer transformation of big data engineer it?
The main analysis capabilities required both up yes. First, the stronger the ability of the programmer coding, more likely to become excellent engineers of big data.
其次，大数据工程师需要统计学、与应用数学相关的能力背景，数据挖掘与分析，是需要设计数据模型和算法的，应该说程序员，是有这个基础的，我见过最牛逼的程序员，一般都不是科班出来的，通常是数学专业，因此提高算法设计能力，是程序员转型大数据工程师的关键因素。
第三，大数据工程师需要具备某一行业的业务知识。大数据的挖掘与分析，最终都要服务于市场，并对产品的销售与企业的发展，起到重大推动作用，那才是有价值的大数分析。
在美国，大数据工程师平均年薪，达 17.5 万美元（折合人民币大概 105 万左右），在中国顶尖的互联网公司里，大数据工程师的薪酬，比同级别的其他职位高出 30% 以上。
DT 时代来得太突然了，国内发展势头很猛，而大数据相关的人才，却非常的有限，在未来若干年内，都会是供不应求的状况，指望大学培养出合格的大数据人才，有如天方夜谭，因此程序员们，你们的春天到了！
3
想成为大数据工程师的你，那么，是时候开始了！