Future Big Data Professional position demand and employment major industry

With the advent of cloud computing and the age of large data, the associated professional needs are exploding, the number of people with large data careers is scarce, and the talent gap is huge. Geithner consultancy predicts that big data will bring 4.4 million new IT jobs and thousands of non-it jobs worldwide. It can be said that the future of large data work, it means that high salaries, stability, a wide range of professional use, sense of superiority ... There are many positions associated with large data, and are currently focused on four aspects of System development Engineers, application development engineers, data visualization engineers, and data analysts.

Large Data Professional post requirements:

(1) Large Data system research and development engineer: Responsible for large data system research and development work, including large-scale unstructured data business model construction, large data storage, database architecture design and database design, optimize database structure, solve database center construction design problems. They are also responsible for the day-to-day operation of the cluster, the monitoring and configuration of the system, and the integration of Hadoop with other systems.

(2) Large Data application Development engineer: Responsible for building large data application platform, development analysis application. They are familiar with tools or algorithms, programming, packaging, optimizing, or deploying different mapreduce transactions. They focus on large data technologies and develop applications and industry solutions based on large data technologies.

(3) Large data analyst: The use of algorithms to solve analysis problems, and to engage in data mining work. Their greatest skill is to be able to tell the truth of the data; In addition, they have expertise in a field that helps develop data products and drives the continuous updating of data solutions.

(4) Data visualization Engineer: Good communication skills and team spirit, strong sense of responsibility, excellent problem solving skills. They are responsible for the collection of high-quality data, the use of graphical tools and means of application, at a glance to reveal the complex information in the data, to help enterprises to better carry out large data application development, found large data behind the huge wealth.

Large data professional employment major industries:

(1) Retail, insurance, electronic commerce

(2) government data centres

(3) Medicine and Banking

(4) Research university

(5) Financial institutions

(6) Internet Enterprises