Data engineering is an area that many companies still underestimate when it comes to turning their data into value. In this article, you will learn why the data engineer occupies a key position in data science teams as well as everything important about the job description and training opportunities.
How To Become A Big Data Engineer | Big Data Engineer Skills, Roles & Responsibilities
More and more companies are deciding to use data analysis in their organization. One of the first thoughts about recruiting is usually to bring a data scientist into the house. In order to successfully carry out data projects, however, several roles must be occupied in a team (data roles).
Data Science in Research and Study
Even if data science evolved out of the economy, academic research on the topic is now an integral part of the university landscape. The different research areas in which data science is used show how universally applicable the methods of data science are. Starting from medicine to the humanities to space research, there are numerous research areas in which data analyzes bring new insights.
A data science team combines numerous skills and professions. To understand further, you can refer to Data Engineer Skills. In addition to the data scientist, the data engineer plays a key role in this. It guarantees the reliability and performance of the IT infrastructure.
The data engineering field of study is a comparatively new trend. So far there has been almost no possibility of taking data engineering as a classic course of study, but the job profile will become increasingly important in the future.
What does a data engineer do?
Development, monitoring, maintenance, management and security of the IT and software infrastructure.
The data engineer takes care of all processes relevant to generation, storage, repair, planning, enrichment as well as transferring of important data. An important task is, for example, the construction and monitoring of the software and hardware facilities. This includes designing, purchasing and setting up all the necessary components that are appropriate for the respective requirements.
The data engineer also makes, executes and monitors the decisions as to which software and which services are used to run the analyzes. For example, he must be able to set up and maintain a database such as MongoDB or databases in SQL.
In addition to the management and monitoring of the data and data sources, the data engineer occupies the interface between the data and the instances that are responsible for the analysis and further use. In this context, he is not only responsible for choosing the right data sets, but also optimizing algorithms or using productivity tools that make it easier for employees to deal with the data.
Last but not least, the data engineer also takes care of the security and stability of the entire system as well as compliance with data protection and data security.
