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What are the common techniques that a Big Data Engineer has to learn?
1. Mathematics and statistics-related background

Only with certain theoretical knowledge can you understand models, reuse them or even innovate them to solve real-world problems.

2. Computer coding skills

Practical development skills and the ability to work with data on a large scale are some of the essential elements of being a Big Data Engineer. The responsibilities of a big data engineer are focused on business analytics, but it is also important to be familiar with the way computers process big data.

3. Knowledge of a specific application domain or industry

It is important that the role of a Big Data Engineer is not divorced from the market, as Big Data can only be valuable if it is combined with applications in a specific domain.