Big Data Engineering Technology Career Direction is as follows:

1. Data Engineering Direction

Graduates can be engaged in the computer-based, mobile Internet, electronic information, and other various related fields of Java big data distributed program development, application of big data integration platforms, development, and other aspects of the work, but also on the computer application work in the IT field.

2. Data analysis direction

Lack of ah, data analyst a shot! Market direction all in hand, big data graduates do data analysis, how deserved a thing! Data analysis direction can also be divided into more detailed, data storage and management, data cleaning, data mining, data visualization.

3. Big data operation and maintenance direction

This well! Cloud computing and big data are closely linked, one is responsible for getting out of the data, one is responsible for calculating the data, or the hands of the le! Operations engineers are basically responsible for the stability of the service, maintenance and ensure the high availability of the entire service, while doing optimization.

Big Data Professional Employment Prospects

Data Science and Big Data Technology, referred to as Big Data Professional. It is one of the newly opened professional disciplines in China since 2016, and "big data" has become the fastest growing specialty in the past few years. Big Data is an emerging interdisciplinary discipline with strong practice, with big data analysis as the core, statistics, computer science and mathematics as the three basic supportive disciplines, training for multi-level research, application needs of senior talents.

Big data graduates can be competent in big data technology development and application, big data operation and maintenance and cloud computing, etc., in the future development prospects are very good, you can go to a large Internet company employment, to do front-end and back-end development, data analysts, machine learning algorithm engineers, App development, intelligent game design and development, data scientists, etc..