Most import thing, at least at the beginning of your data journey is to grasp a good understanding of SQL. It's cornerstone in data world.
Definitely you should familiarize yourself with a concept of data modeling, especially dimensional modeling that is encounter most often, to get used to terms like fact table, dimension table, slowly changing dimensions etc.
Other than that, it's useful to have some cloud knowledge under your belt because nowadays we're doing data projects on cloud platforms like Azure, AWS, GCP.
And since you know python, you should focus your attention on pyspark api when you'll be learning Spark/Databricks.

Good luck,
Slash