Analyzing datasets with trillions of records?

Read a job posting with a biotech firm that's looking for candidates with experience manipulating data with **trillions** of records.

I can't fathom working with datasets that big. Depending on the number of variables, would think it'd be more convenient to draw a random sample?

big biotech data datascience datasets experience job random records sample think variables