Learning big data can be engaged in a lot of work, for example: hadoop R & D engineers, big data R & D engineers, big data analytics engineers, database engineers, hadoop operations and maintenance engineers, big data operations and maintenance engineers, java big data engineers, spark engineers and so on are all jobs that we can engage in! Different positions, the technical knowledge is not the same, you need to learn from all directions, one by one!
Hadoop Development Engineer
You will need to have the following skills:
a. Build data analysis platform based on hadoop, hive, etc., data platform architecture design, development of distributed computing business;
b. Application of big data, data mining, analytical modeling and other technologies, mining of massive amounts of data, to discover its potential association rules;
c. Pre-research and development of hadoop, hive, hbase, Map/Reduce related products;
d. **Hadoop related technology to solve the problem of massive data processing, analysis of large data volume.
e. Performance optimization and enhancement of Hadoop related business scripts to continuously improve system operation efficiency;
Data Engineer
Responsibilities:
a. Analyze the changing behaviors of various types of users;
b. Predict the impact of various types of marketing on the user, and locate the precise market placement;
c. Help to realize the automated monitoring platform.
Hadoop Operation and Maintenance Engineer
You need to have the following technical knowledge:
a. Deployment maintenance and technical support of the platform's big data environment;
b. Application fault handling tracking and statistical summary analysis;
c. Application security, daily backup and emergency recovery of data;
Data Mining Analyst
You need to have the following skills:
a. Statistical analysis of prioritized accounts for greater success.
b.Communicate action plans with supervisors or clients and identify areas for improvement.
c.Performs strategic data analysis and research to support business needs.
d.Identify opportunities to improve productivity with complex statistical modeling.
e.Navigates data to identify opportunities and improve business effectiveness.
f. Specify business processes, goals, and strategies to provide understanding, analysis, and interpretation.
g.Obtain business requirements and necessary analysis, where appropriate, in response to internally discussed understandings.