What is a Data Engineer?
The role of the Data Engineer falls under engineering. It is therefore an IT developer , whose mission is to set up the collection and provision of data within the company. It is therefore a question of developing tools to manage large volumes of data and to make them accessible and usable to the entire team.
This data is then used by data scientists and data analysts who will give it meaning thanks to their business intelligence skills. In constant contact with customers, data scientists and data analysts, the Data Engineer aims to find the most suitable solution to meet their needs.
How is the course structured?
Several topics are covered in training. Each theme is divided into several modules.
For Data Engineer training, the blocks are:
More details are available in the attached syllabus.
The total duration of a course is 325 hours, in Bootcamp format (11 weeks) or continuously (9 months)
What skills will you learn?
We have developed a Data Engineer course that is as close as possible to the expectations of the profession. At the end of your course, you will know:
What is the training format?
DataScientest is the only organization to offer hybrid training, combining both synchronous and asynchronous. This translates into 85% learning on the coached platform and 15% masterclass session by videoconference, with the aim of combining flexibility and rigor without compromising on one or the other. It is a carefully considered choice that motivates our pedagogy to allow learning to be carried out with motivation.
It is quite possible to follow the training remotely: face-to-face courses are then replaced by videoconference courses.
However, the follow-up remains the same: the teachers remain attentive and follow you throughout your course.
What are the prerequisites for the course?
To be able to access the training system, we advise you to have either a bachelor in mathematics or a master’s degree in a scientific field. It is also required to demonstrate an understanding of the SQL language and Linux systems.
In addition, this job is data-centric, it requires a solid foundation in mathematics and statistics, which will also allow you to more easily grasp new concepts covered during the course. The level will be assessed via a test conditioning the entry into training.
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