How to Become a Data Engineer

A shortcut for beginners in 2024

💡Mike Shakhomirov
Towards Data Science

Photo by Gabriel Vasiliu on Unsplash

This story explains an accelerated way of getting into the data engineering role by learning the required skills and familiarising yourself with data engineering tools and techniques. It will be useful for beginner-level IT practitioners and intermediate software engineers who would like to make a career change. Through my years as a Head of Data Engineering for one of the most successful start-ups in the UK and mid-east, I learned a lot from my career and I would like to share this knowledge and experience with you. This is a reflection of my personal experience in the data engineering field I acquired over the last 12 years. I hope it will be useful for you.

Data engineer — the role

First and foremost, why data engineer?

Data engineering is an exciting and very rewarding field. It’s a fascinating job where we have a chance to work with everything that touches data — APIs, data connectors, data platforms, business intelligence and dozens of data tools available in the market. Data engineering is closely connected with Machine learning (ML). You will create and deploy all sorts of data and ML pipelines.

It definitely won’t be boring and it pays well.

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Responses (15)

What are your thoughts?

Data quality

Data centric models focus on quality data.

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This article is like a Data Engineer manual for aspiring professionals to the IT industry. Well done and thanks for sharing such wealth of knowledge.

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The article says everything about Data Engineering. Worth reading.

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