First, you’ll need to learn because Data Engineering asks for a certain integrity degree. Completing a bachelor’s degree is necessary if you need to gain knowledge and start to apply for positions. Some companies want a data engineer to have a master’s degree but this is very rare that they ask for a Phd.
But there are now training courses that you can complete online. Udacity for knowledge discovery permit to go through multiple subjects around Cloud Computing, Data Science, Programming or Development. They have a data engineer nano degree that you can complete in 5 months. In this program, you can learn production-ready data infrastructure, which would be a great asset for an engineering career.
These online courses have a different range from less than 1 month to 3 months of extensive courses. But Udacity is just one resource from much other online training that delivers courses and certifications.
Even now, some great universities also give you the opportunity to complete an online Masters in Data Engineering. Boot camps are also growing more and more, giving you the choice to follow intensive courses during a limited period of time (usually a few weeks) and get a certification or a career opportunity at the end.
A large component of the Data Engineering skills is also the way they can use programming languages and how many they can work with. Here is a list of programming languages that are usually used:
If you want to know more about programming languages in Data Engineering, you can check our article.
As a data engineer, some soft skills are primordial for you to master. We call them inner game and it can be useful to get these. Having discipline in the way you approach your coding is important. This comes with the ability to see details.
You also have to know how to deal with business problems. The more you are able to evolve with a business eye and deal with problem solving. The more you will be able to select your data sources wisely and to become an industry expert.
Depending on the type of company you are working in as a Data Engineer, you’ll have different fields to work with. Certain companies have more or less different data departments that you need to communicate with. These departments you could be in contact with are the Data Scientist, Data analytics and Software Engineering team.
Even if as a data engineer, you are not doing Computer Science, you have to get good communication with the different departments to organize and create synergy with the teams.
Now, speaking to tangible skills that you will need to master as Data Engineer, you’ll have different missions to do properly such as dealing with all data styles. You have to be able to deal with unstructured data, raw data, and large amounts (for big data projects) of data to be able to succeed in your data projects.
Being able to do data wrangling on complex data will also lead you to better understanding. Here are other skills we have summed up to be a better data engineer:
As Data Engineer, having skills in Artificial intelligence and Machine learning Techniques will add significant value to your profile. In fact, you will be able to create Machine Learning algorithms and put these machine learning models in applications.
We often hear that the Data Scientist is the sexiest job of the 21st century. Data Engineers have nothing to be scared of because a scientist salary can be relatively the same compared to an engineering position. The demand for data engineers is also very high. This high demand offers a great job guarantee, large career paths in this field and a lot of career opportunities. Also, we see more data engineers turning to a scientist career. This is something completely achievable because many engineers already have hands-on experience.
If you are a Data Engineer, you can apply now for our large list of Data Engineering positions. We are a recruitment company that connects you with the best jobs available on the market. We also adapt to the different job titles and we help you to prepare interview questions.
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