On Data Engineering

5 tips for aspiring and junior data engineers

Five tips to help you navigate your early career as a data engineer

Julien Kervizic
Hacking Analytics
Published in
12 min readOct 7, 2020

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Photo by Sam Dan Truong on Unsplash

Data Engineering is an interdisciplinary profession requiring a mix of technical and business knowledge to have the most impact. Starting a career in data engineering, it is not always clear what is necessary to be successful. Some people believe that there is a need to learn particular technologies (e.g., Big data); others believe it is a high degree of software engineering expertise; others believe it is focusing on business.

There are five main tips I would give to data engineers starting their career:

  1. Learn fast
  2. Don’t succumb to the technology hype
  3. Data Engineering is not all about coding or technology or data
  4. Coding is still an important part of the job
  5. Know your data and where it is coming from

Learn Fast

Learning fast is essential to growing your career as a data engineer. There are many areas to cover — general data engineering, significant data engineering, software engineering, machine learning engineering — domain knowledge to acquire, soft skills to master, different tools to…

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Julien Kervizic
Hacking Analytics

Living at the interstice of business, data and technology | Head of Data at iptiQ by SwissRe | previously at Facebook, Amazon | julienkervizic@gmail.com