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The Data Engineer has a similar position than the Data Analyst in the sense that she/he has to build predictive models. The mission is to improve the company’s big data ecosystem. The Data Engineer will prepare the infrastructure of the “big data” for the Data Analyst to analyse it. She/he needs to develop algorithms in order to access raw data while understanding the business goals of their company. Some of the tools that are used are the following: MySQL, MongoDB, Cassandra, DashDB.
Some of important skills that are needed to become a Data Engineer: Maths, Statistics, Machine Learning and Software Engineering. A Bachelor of Science in Mathematics, Computer Science, Statistics or Economics is a minimum requirement.