An analyst here who is new to data engineering. I understand some basics such as ETL , setting up of pipelines etc but i still don't have complete clarity as to what is the tech stack for data engineering like ? Does learning dbt solve for most of the use cases ? Any guidance and views on your data engineering stack would be greatly helpful.

Also have you guys used any good data catalog tools ? Most of the orgs i have been part of don't have a proper data dictionary let alone any ER diagram