The Data Engineer plays a critical role in data management by building and maintaining the architectures for storing, transforming, and transporting data within an organization. His work is crucial to making data available, structured, and usable for teams of Data Scientists, Analysts, and Business Intelligence.

One of its primary missions is to design data pipelines to collect and transform raw data from various sources (web, IoT sensors, internal systems, etc.). These pipelines include ETL (Extraction, Transformation, Loading) processes to structure and optimize data before it is stored in data warehouses.

The Data Engineer is also responsible for optimizing database performance and ensuring data quality by identifying and correcting possible anomalies. In this context, he works with relational databases (SQL) as well as non-relational databases (NoSQL) to meet specific business needs.

At the same time, he is often required to work with cloud computing environments to manage large volumes of data, and to ensure data security by following compliance standards. He collaborates with development teams to integrate big data solutions and with data science teams to ensure that data is accessible and ready to be analyzed.

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