Data, artificial intelligence and Internet of Things (IoT) professions are among the most in-demand job families currently on the job market (2nd in July 2023), according to the Grande École du Numérique (GEN) observatory. This is particularly the case for the data engineer position, which Data ScienceTech Institute (DSTI) trains for through its Master of Science course: Applied MSc in data engineering for artificial intelligence.
These jobs are in tension because companies are beginning to realize that they have a very large amount of data, also known as “big data”, and this in all sectors of activity. But there are not enough experts to manage and exploit it.
However, we know that this data is essential in the advancement of certain fields, such as for example to consolidate the history of a hospital patient, which would allow them to be treated better or even ensure better prevention for their health, explains Hanna Abi Akl, teacher-researcher and deputy head of teaching at DSTI.
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The data engineer indeed has a crucial role for organizations, regardless of their size or sector of activity. As Hanna Abi Akl points out, he is responsible for the architecture, implementation and maintenance of a iran whatsapp number data data pipeline (system). ” It is a job that requires both strong technical skills in IT as well as business expertise to understand the data available. ”
Among the missions entrusted to him, we find in particular:
the implementation of a cloud / on-premise / hybrid infrastructure,
the architecture and design of a data pipeline,
the implementation and maintenance of a data storage space,
system configuration and parameterization,
data cleaning,
training machine learning models on data
Concretely, the data engineer carries out data monitoring in a professional this is one of the most popular environment. He is responsible for the choice of technology and the implementation of systems that will automate the flow of ingestion of this data until its processing so that it becomes usable. This is cmo email list also the flow that companies such as Google and Amazon have set up to be able to extract the most value possible from the customer data they receive every day.