Where is big data good for employment?

Big data jobs mainly focus on data value, involving data collection, data collation, data storage, data analysis, data security, data application and many other aspects.

There are many jobs related to big data development, among which the most popular ones are:

1. Big data development engineer

is mainly responsible for ETL development of data model and data platform construction; Business-oriented system design and development of data extraction, analysis, reporting and mining.

Job requirements:

Proficient in commonly used data structures and algorithms, understand the basic principles of object-oriented design, and be familiar with commonly used design patterns;

master the framework of Hadoop ecosystem, including Hadoop, Hive, Spark, Storm, Flink, ElasticSearch, HBase, etc.

2. The big data operation and maintenance engineer

is mainly responsible for the cluster management, machine optimization and cluster monitoring of the data platform; Optimization and performance tuning of existing clusters to meet the growing business needs.

Job requirements:

Familiar with mainstream open source data components, including but not limited to HADOOP, Hive, HBase, ZK, Spark, Flink, Flume, ElasticSearch and etc；; Deeply understand the principle and implementation of Hadoop components; Familiar with distributed principle and distributed system design.

3. The big data architect

is mainly responsible for the overall architecture design of the big data infrastructure, and carries out technology selection in combination with the actual business situation of the company; Responsible for the overall evaluation and design of data storage and computing platform and the development of core functional modules.

Job requirements:

Familiar with commonly used data structures and algorithms; Have rich development experience and understand the mainstream big data technology framework components, including but not limited to Hadoop, Spark, Storm, Flink, etc.

4. Big data analyst

The position in the direction of big data analysis mainly focuses on data analysis and mining, and usually needs to be responsible for the development of routine business data analysis requirements, the construction of user portraits, and the implementation of recommendation algorithms.

Job requirements:

Familiar with data warehouse theory and data mining theory, familiar with common machine learning algorithms (such as logistic regression, neural network, decision tree, Bayesian, etc.); Have a corresponding understanding of the mainstream technical components in Hadoop and Spark ecosystem.

for basic talents-data analysts, the average salary of Beijing data analysts is? 1778/ month, taken from 1319 samples.

for big data development engineers, the average salary of big data development in Beijing is 3,23/month.

for hadoop development engineers, the average salary of Hadoop in Beijing is 24,28/month.

for data mining engineers, the average salary of data mining engineers in Beijing is? 2981/ month

For algorithm engineer, the average salary in Beijing and algorithm engineer is? 353/ month < P > So you can go to the first-tier cities for development.