How Much Data Engineering is Enough for a Beginner.

Hi Community,

I need some guidance on how much and what I should study to secure an entry-level job in data engineering.

In the past three months, I have learned:

1. SQL
2. Python
3. Basic Data Warehousing
4. PySpark
5. I started Zach Wilson's course, but I find his teaching style a bit hard to follow.
6. AWS (I plan to start learning it soon).

Initially, I was focusing on mastering a few key topics like SQL and Python—enough to confidently answer Hiring Managers questions. Get a job and then keep learning and building on it.

However, recently I realized that is not enough and I should also know about data modeling, Airflow, etc. I realize data engineering is a vast field, and I’m unsure where to draw the line. If I try to cover everything, I might not become proficient in any one area or get a job quickly.

I need to secure a job within the next 1–2 months, and another challenge I face is building a CV. I don't have much to include beyond certifications and a few small projects.

What should I prioritize in my learning journey? Any tips on building a CV for transitioning into data engineering would also be greatly appreciated.

P.S-- I’m an experienced professional transitioning from a non-tech background.