The Data Engineer is the leading specialist in data processing. He or she has studied engineering and/or has completed a Master's degree in Data Science or Artificial Intelligence, or in computer science. He has acquired several professional skills related to this profession thanks to internships that he did in alternation with his studies. Thanks to this, he masters the tools and software but also the world of the Digital company which has allowed him to become familiar with and prepare himself to face the problems that await him when he enters the professional world. After these studies, he is immediately able to work as an expert in the field. 

Firstly, the Data Engineer develops, defines, maintains and implements all the tools and infrastructures required to analyze the data collected by the Data Science teams. Secondly, he must ensure that the products of his work can be read and manipulated by his colleagues. Thirdly, he designs platforms that allow the processing of a fairly large volume of data. Then, he must also ensure the animation of his teams. Finally, he will ensure that the data is clear and optimally secured in order to be analyzed and transformed by Data Scientists.

A Data Engineer has a strong mastery of various Big Data technologies which allows him to process and manipulate data in the best possible way including Spark, Hadoop, Kafka. He must have a strong expertise in the design of databases such as Microsoft, DB2, SQL, NoSQL. He/she is familiar with data storage and extraction tools. He is a true specialist in structured languages. He must work in a team given the number of tasks entrusted to him and for this, it is essential for him to have an ease of integration into the group to which he is inserted and with an ease of adaptation. He has the talent to create work platforms in the bus to process mails. We can say that he has specific skills including the mastery of structured language such as Javascript, various operating systems such as Linux, Solaris, Big Data technologies, maching learning on Google Cloud, and also know how to speak, read and write English fluently. 

To avoid confusion of roles between Big Data experts, it is essential to assign each role to the specialist who is best qualified to bring more organization and assurance between the company's teams. A Data Engineer will complement his teams to ensure his role and bring the air of evolution in this company. A complete team can attract a lot of collaboration between customers and the company. A Data Engineer is not only today's professional, he is also part of tomorrow's professionals, which means that no matter how the digital world evolves, he will always have his place and his expertise will make him an outstanding expert.