Strategies for learning DSA with python, SQL, Spark

I am trying to switch to a Data engineering role in a product based company. Please suggest some great practices and strategies to learn DSA with python and SQL to crack interviews at product based companies. I have experience working in AWS data orchestration where I worked on step function creation, Glue, lambda, event bridge. Also used version control like GitHub. Please suggest a way to crack interviews at product based companies for data engineering roles.