When interviewing this year, I almost always ask questions about the basics of Java. Java multithreading knowledge, Java virtual machine principles, such as garbage collection algorithm, virtual machine class loading principle, how to divide heap memory and so on. These Java questions have been asked, so before big data engineers jump ship, they must lay a solid foundation for Java.

Java language is the most basic knowledge of big data engineers. Java basics You need to prepare the basic syntax of Java language, the use of Java collection classes and the realization of the underlying code, Java multithreading, Java virtual machine, Java network and so on. Before you submit your resume, you should make sure that you have some knowledge about it. After all, opportunities will only be given to students who are prepared.

2. Do a good job in project introduction and personal thinking.

Big data engineers will definitely introduce the projects they have done during the interview. So before the interview, you must clearly describe the projects you have done, and the projects are arranged in descending order of time. When introducing the project, you should guide the interviewer to develop in the direction he is good at, and at the same time, you need to describe the details of the project clearly so that the interviewer can understand what you said.

3. Master the principle of a big data component.

When interviewing a big data engineer, the general interviewer will ask you if you know a certain kind of big data component. For example, if you interview ETL or offline computing development, the interviewer may ask you more technical questions related to Hadoop or Spark. If you are interviewing for real-time computing, the interviewer will ask you more if you have used Storm, Spark Streaming, Flink, Kafka and other components.

4. Highlight your core advantages in a short time.

To tell the truth, many students will actually deliver the position you interviewed, so how can you get this Offer when so many people stand out from the crowd you interviewed? Personally, I think you need to highlight your core advantages in technology in a short time (the interview time of the interviewer). For example, you can emphasize your learning ability during the interview, study the underlying source code of big data components, like blogs and technology sharing, and have made technical contributions to the open source community.

About big data engineers jumping ship to find jobs? Do these things well, and Ivy Bian Xiao is here to share with you. If you are interested in big data engineering, I hope this article can help you. If you want to know more about the skills and information of data analysts and big data engineers, you can click on other articles on this site to learn.