1 Programming knowledge

First of all, it is assumed that you successfully use at least one programming language. Statistics show that over 70% of jobs based on data engineering require knowledge of the Python programming language. It is a warm recommendation that if you do not have prior Python knowledge, start from today with mastering this popular and user-friendly language. Other highly recommended skills are proficiency in SQL, Java, Scala. Additionally, R, Ruby, and Perl are also considered popular programming environments in the world of data engineering. What do you need to pay special attention to when it comes to programming?

1. Be familiar with data structures. Be sure to know how to use lists, dictionaries and how to link them. Also, basic operations as searching, inserting, and appending are essential for data manipulation processes.
2. Understand algorithms and programming sequences that can search the data, merge or sort features and create new elements by combining the existing ones.
3. Solve practical problems by finding some existing data sets on the web, play with data, try to extract your own conclusions, and find hidden knowledge. Every newly processed data set is one level up in your experience, which will mean a lot for you at the beginning of your data engineering path.