Big data jobs can be divided into three main categories: big data system developers, big data application development talent and big data analytics talent; the most common and also in great demand are big data system development engineers, big data application development engineers and data analysts.

Employment Prospects for Big Data Majors:

(1) Talent Gap: In the next 3 to 5 years, China will need 2 million+ big data talents, and the current number of big data practitioners is less than 500,000, which is far from satisfying the market needs. To summarize, the future of the big data talent gap will be more and more big, more people missing, natural good employment.

(2) Position salary: the basic position of the average big data development engineer salary start that 10,000 +, the general entry salary of 13,000 yuan or so, more than 3 years of work big data development engineer salary up to 30,000 yuan / month.

(3) industry prospects: the future of big data combined with cloud computing, AI, will create hundreds of new jobs. To put it bluntly, the industry outlook is impressive and the future is promising.

(4)? Practical problems: enterprise demand, BAT, DDT, today's headlines heavy recruiting, urgently looking for big data talent, school recruiting annual salary average of more than 400,000, 80% of small and medium-sized enterprises big data construction has begun, the demand has increased greatly. The future employment outlook is self-evident with the demand from large enterprises.

Job Description

1, Big Data Architecture Engineer:

Responsible for the Hadoop cluster architecture design and development, construction, management, operation and maintenance, tuning; responsible for the data docking and external service design, development and maintenance; responsible for the program design, development and maintenance of the big data framework and big data applications; Responsible for automatic analysis and processing and mining of massive data based on big data technology.

2, big data development engineer:

Build data analysis platform based on hadoop, spark, etc., design, development of distributed computing business; assist in managing the operation of Hadoop cluster, stable provision of platform services; based on Spark technology of massive data processing, analysis, statistics and mining; based on the Spark framework of data warehouse Design, development and maintenance.

3, big data operation and maintenance engineer:

Responsible for the operation and maintenance of the big data infrastructure platform, to ensure the stability and availability of the platform; responsible for the deployment, on-line and maintenance of application products; responsible for the big data platform resource management, performance optimization and troubleshooting; in-depth study of big data business-related operation and maintenance technology, continuous optimization of cluster service architecture; participate in the design of big data automation operation and maintenance, monitoring, troubleshooting tools. Involved in the design of automated operation and maintenance, monitoring, and fault handling tools for big data.