Can you find a job after attending big data training?

Learning big data can do a lot of work, such as: hadoop R&D engineer, big data R&D engineer, big data analysis engineer, database engineer, hadoop operation engineer, big data operation engineer, java big data engineer, spark engineer, etc. Are all jobs we can do! Different positions have different technical knowledge, which requires all-round learning and breakthroughs one by one!

Big data training

Hadoop development engineer

You need to have the following skills:

A. Build a data analysis platform based on hadoop and hive. , design data platform architecture and develop distributed computing services;

B. Mining massive data and discovering its potential association rules by applying big data, data mining, analytical modeling and other technologies;

C. early research and development of hadoop, hive, hbase and Map/Reduce related products;

D.**Hadoop related technologies have solved the problems of massive data processing and massive data analysis.

E optimize and improve the performance of Hadoop-related business scripts, and continuously improve the operating efficiency of the system;

Data engineer

Responsibilities:

A. analyze the changing behaviors of various users;

B. Predict the impact of various marketing on users, and position the market accurately;

C. help realize the automatic monitoring platform.

Hadoop operation and maintenance engineer

You need to have the following technical knowledge:

A. Deployment, maintenance and technical support of the platform big data environment;

B. Handling, tracking, statistical summary and analysis of application faults;

C. application security, daily data backup and emergency recovery;

Data mining analyst

You need to have the following skills:

A. Make statistical analysis on key customers to achieve greater success.

Communicate the action plan with the supervisor or customer to find out the areas that need improvement.

C. conduct strategic data analysis and research to support business needs.

D. Identify opportunities to improve productivity through complex statistical modeling.

Browse data to identify opportunities and improve business results.

F specify the understanding of business processes, objectives and strategies to provide analysis and explanation.

G. according to the understanding of internal discussions, obtain business requirements and necessary analysis.