Nowadays, big data is already playing a pivotal role in society, but in the years to come, this role will only become bigger and more impactful. The significance of data engineering is on the rise. Meet Sije and Don, two aspiring individuals who recognized the importance and relevance of data engineering. Both of them followed a data engineering traineeship to improve their skills and knowledge and do a deeper dive into the world of data processing. In this article, we'll look into the essence of data engineering and the motivations of two enthusiastic data engineers.
Why decide on following a data engineering traineeship?
Trainees Sije and Don agree that big data will become more important in the following years, with data engineering becoming an essential skill to master. Both had a background in Data Science prior to deciding to opt for a data engineering traineeship, allowing them to extend their existing knowledge while simultaneously specializing in the world of data processing. Sije tells us their aim was to extend their knowledge regarding engineering issues. In contrast, Don wanted to focus on bettering their technical know-how and combining that with his ability to come up with creative solutions.
Data engineering in a nutshell
Data engineering is related to computer science, software engineering, and data science, and it involves improving everything related to data, from designing, developing, and maintaining the infrastructure to monitoring and upgrading important facets such as storing, processing, and the analysis of data. Data engineers typically do this.
What do you learn during a data engineering traineeship?
The average data engineering training focuses on locating errors, identifying and solving issues, and tackling problems. Additionally, trainees are taught how to communicate with clients and how to keep end-users' wishes in mind when developing apps, programs, and systems.
According to Sije and Don, their data engineering traineeship focussed on the subjects above but also included projects that allowed them to put their skills to the test right away. Sije's project involved optimizing the storage of data of a rapidly growing company that has had its company data increase at a fast rate. Don teamed up with other trainees to develop an app that suggests words and sentences based on their measured advertisement effectiveness. He automated the loading, cleanup, and storage of data, modules, and the installation of required programs, effectively assisting in the app's production.
What about after your data engineering traineeship?
Sije and Don's ultimate goal? Sije says they eventually want to become a Senior Data Engineer, and following a data engineering traineeship has helped them take a big step in the right direction to extend their knowledge and be able to pass on their skills to other data engineers. Don also aims to develop his skills further to improve the overall quality and effectiveness of his work, having set the goal to make everyday life in society easier for everyone.
