A data pipeline that turns you into a prestigious data professional
In this story, I want to talk about data engineering career paths and data projects that look great on any resume. If you’re an aspiring data practitioner who’s not only willing to learn new tools and techniques, but also looking to build your own data project portfolio, this article is for you. In his 15+ year career in data and analytics, I have witnessed good resumes and bad resumes that demonstrate data engineering skills. The data engineering projects you’ve been involved in or been responsible for are the ultimate compass that tells the hiring manager your experience, how good you are, and why they should hire you. This story is about how to showcase your data engineering experience on your resume to convey professionalism and confidence that will get buy-in.
Starting a new data engineering project is always difficult, as data engineering is probably the most difficult job in the data space. You need to be a software engineer to know how to build data pipelines, then you need to be a data analyst to use SQL to communicate effectively with your analytics team, and ultimately you need to be a data analyst to know how to build data pipelines. Must be an experienced data platform architect managing the . All required infrastructure resources. It’s definitely worth the risk to start learning. According to a 2023 study conducted by DICE, data engineering is the fastest growing profession, which I wrote about in one of my previous articles. [1].
If you are learning data engineering, you may find this article useful, as choosing the right set of projects will make development easier. Get the skills you need, faster. In the article above, I wrote about skills that look great on a resume. I think now is the time to talk about your portfolio of data engineering projects. It’s easy to get stuck choosing the right tool.
