Data engineering is the process of collecting data from different sources and finding an efficient way to store the data. Data engineers also run the data pipelines to transform and move the data from one place to another. The data is prepared by cleaning the data and made available to the end-user. Let us look at the different roles in the data science domain. Software engineers do software architecture. The data engineers store and process the data. The data analyst create dashboards and reports. The data scientist and ML engineers work with AI and machine learning.
As you can see from the figure, the data engineers might also do the work of software engineer and data scientist at some point in time. It is important for the data engineers to know any one programming language, SQL, Spark. It is essential to get knowledge about different databases like PostgreSQL, Oracle and data processing tools.