I'm not familiar with that environment, but if you have specific questions - there's always space for more sections :-)

There are a bunch of questions that attempt to proxy how mature the data pipeline/data engineering is of the company you're looking at.

* Do you do batch and/or streaming computation?

* What kind of access do you have for querying/accessing the data this role will predominately be working using?

* Do you have dedicated data engineers and data infrastructure people

* What's your workflow orchestration engine?

* What is the data access pattern for historical data (there had better be at least SQL access here).

* Do you have built-in feedback loops for your machine learning products?

* What is your serialization format of record for production and for OLAP?

* How often do schemas change in your databases?