Learn Data Engineering this summer break with a guided roadmap. A three-week plan with links and topics to learn the basics to be a data engineer.
It’s very ambitious, but you can schedule at your own pace.
The three weeks contain:
<ol>
<li>Week: Foundation (SQL, Git, Linux basics)</li>
<li>Week: Core Engineering (Python, Cloud, Data Modeling)</li>
<li>Week: Advanced Topics (Streaming, Data Quality, DevOps)</li>
</ol>
How to use this guide: Each section contains curated resources (articles, videos, tutorials) for that topic. Click on the links that interest you most. It’s meant as a guided roadmap to learn the fundamentals of a “full stack” data engineer.
Here’s the guide: <a href="https://www.ssp.sh/blog/data-engineering-roadmap/" target="_blank" rel="noopener nofollow">https://www.ssp.sh/blog/data-engineering-roadmap/</a>
This is last year’s guide, but it’s still 100% vaild to this day. Agentic engineering doesn’t need to be learned right now; you can always pick it up later. Learning fundamentals, on the other hand, can’t be skipped.
I hope you enjoy. Also, don’t forget to cool down and jump into the water if you can🏄‍♂️.
<img src="https://media.daily.dev/image/upload/s--EGg9rq59--/f_auto/v1783498401/ugc/content_513ce990-6771-4455-880c-3ff2799e4683?_a=BAMAMicg0" alt="de-roadmap-banner-1584x396.png">
Here are our accompanying resources:
<ul>
<li>Summer DE postcard series with insights for your beach reading at <a href="https://www.rilldata.com/blog/data-engineering-postcard-series" target="_blank" rel="noopener nofollow">https://www.rilldata.com/blog/data-engineering-postcard-series</a></li>
<li>Accompanied toolkit for DE engineers at <a href="http://toolkit.ssp.sh" target="_blank" rel="noopener nofollow">toolkit.ssp.sh</a></li>
<li>OSS DE projects curated from 2022-2026: <a href="https://www.ssp.sh/brain/open-source-data-engineering-projects/" target="_blank" rel="noopener nofollow">https://www.ssp.sh/brain/open-source-data-engineering-projects/</a></li>
<li>Or 101 DE concepts every DE engineer should know (<a href="https://www.ssp.sh/brain/data-engineering-concepts" target="_blank" rel="noopener nofollow">https://www.ssp.sh/brain/data-engineering-concepts</a>) to look up or DE Vault with anything you want to know (<a href="https://www.ssp.sh/brain/data-engineering/" target="_blank" rel="noopener nofollow">https://www.ssp.sh/brain/data-engineering/</a>)</li>
</ul>
Please enjoy &amp; let me know what is missing in the roadmap.

Genuine news from the open-source data engineering ecosystem.

Data Engineering

A three-week guided roadmap for learning data engineering fundamentals over summer break. Week one covers foundations (SQL, Git, Linux), week two focuses on core engineering (Python, Cloud, Data Modeling), and week three tackles advanced topics (Streaming, Data Quality, DevOps). The guide links to curated articles, videos, and tutorials and is designed to be self-paced. Accompanying resources include a DE toolkit, a curated list of open-source DE projects, and a reference vault of 101 data engineering concepts.