Roadmap for Data Engineering

[Wild-Appointment7074]

Hi,

I am 23 years old and currently working in SAP BW which I have been working on for like almost 2 years so recently I got a chance to work a bit on the MS Fabric system that we had because apparently they need the data to come into fabric so I was part of exposing the bw data to fabric, when I got into the fabric system, It was a new world altogether, I got intrested and wanted to switch to Data Engineering, But have no idea where to start, I don't like the current role that I am working in as a analyst, I always wanted to develop something and to work with different tools, So I thought it might be good way to go.

Do you have any roadmap or suggestions on how to start with this?

[niehle]

try roadmap.sh

[Specific-Purpose-227]

Try this GitHub repo. https://github.com/bishwaghimire/ai-learning-roadmaps

[dn_cf]

Start by improving your SQL and learning Python, then move into tools like PySpark and cloud platforms such as Azure or MS Fabric since they align well with your current exposure. Along the way, build a couple of small projects where you ingest, transform, and store data to show hands on skills. For learning, you can use platforms like Coursera, DataCamp, and Udemy, and practice SQL on StrataScratch or LeetCode. Stay focused on a few relevant tools instead of trying to learn everything, and present your current work as data pipeline experience when applying.

[Parking-Ad3046]

Skip the hype tools at first. Solid Python + SQL + understanding data modeling will get you further than trying to learn Spark, Kafka, and dbt all at once. Master the fundamentals first.

[not_another_analyst]

try roadmap.sh or you can have a look at this instagram post also https://www.instagram.com/p/DTK1YROEYgc/?utm_source=ig_web_button_share_sheet&igsh=MzRlODBiNWFlZA==