Big Data Engineer Definition

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There are plenty of ways you can build your big data engineer skills, and it starts with knowing which skills to hone.

To understand the role of a big data engineer, you need to understand that big data is an extensive collection of information that the traditional software options are not equipped to handle. The traditional data collection can be well structured while big data comes in unstructured. Big data engineers come in by using a range of their technical skills to get the job done. 

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Big data engineers are skilled as software developers, and they have to be proficient in coding, an excellent data scientist, and an engineer all at the same time. This is a multi-faceted role, and any big data engineer could find themselves performing a range of tasks on any day of the week. Identifying, extracting, and delivering data in a usable format. This data is then given to others to evaluate. While a big data engineer is working, they have to ensure that the data they extract is valid. On any given day, a big data engineer could deal with cloud computing environments, assist in documenting any requirements, resolve ambiguities in the data, and more. 

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