Data and engineering software are two fields that work closely together. While the careers in these fields have some similarities however, they have different areas of expertise that make them distinct.
To manage huge amounts of data and information in a large way companies require experts to collect and organize it to be used for further analysis. These experts are referred to as data engineers. Data engineers employ programming languages to design systems that collect data transform it into data and make it useful to other data specialists such as Data scientists and Business Intelligence (BI) developers.
Data engineers take into consideration how data is stored and encoded, as well as how it is secured when they design their pipelines. They can also suggest or implement methods to increase data reliability, efficiency, and quality. They can, for example, help end users seamlessly integrate data by adding uniform IDs.
When their ETL is completed Data engineers typically create analytics software to help other users make use of the company’s data. This includes creating visualizations that highlight important data points like employee and customer trends, product performance and more. They also develop and maintain data platforms that employees can access via APIs or web-based interfaces, such as a dashboard.
To accomplish this, they should be able to use various storage and databases. For instance, they could use SQL to query relational databases and a tool like Python for more flexible and powerful ETL processes. They can also implement a NoSQL data store, such as MongoDB, which offers the flexibility of document-based data management.