Engineering and data software are two fields that work closely. Although many of the careers in these fields have some commonalities however, they also have their own areas of expertise, which makes them distinct.

To manage huge amounts of information and data in a massive way, companies require experts to collect and prepare it for further analyses. These experts are referred to as data engineers. Data engineers use programming languages to develop systems that take data from sources, transform it and make it usable for other data specialists, like data scientists and Business Intelligence (BI) developers.

As they build their pipelines data engineers look at how data is modeled, stored, secured and encoded. They could also suggest or implement strategies to improve data reliability, efficiency and quality. They may, for example assist users to seamlessly merge data by adding consistent IDs.

When their ETL is completed Data engineers typically create analytics software to help other users benefit from the company’s information. This can include creating visualizations that highlight key data points, such as employee and customer trends, product performance, and more. They also create and maintain data platforms that employees can access through APIs or web-based interfaces, such as a dashboard.

To accomplish this, they need to be able operate a variety of storage and databases. For instance, they could use SQL to query relational databases as well as tools such as Python for more flexible and powerful ETL processes. They could also deploy a NoSQL data store such as MongoDB that provides a flexible document-based approach for managing data.

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