Comment by jtbaker
22 days ago
Not a language problem, it's a dev culture problem. You can hold your devs accountable to the quality of their code. Strong er typing support via static analysis as well as runtime validation with untrusted input/data has really helped python alot.
I'm not necessarily the biggest fan of python, but writing a data engineering tool in a non-data engineering focused language seems like a bad decision. Now when the OP leaves the organization is in a much tougher position.
> Now when the OP leaves the organization is in a much tougher position.
Are they really, though? You're assuming their org is unfamiliar with C#. Not all data engineers only know Python. The ones I work with mainly use C# because we all do!
I'm a software and data engineer. I work with C# pretty extensively in my software day job. I've never seen a data engineer job listing mention C#.
Additionally, the way the OP's comment reads, I'm ok with the assumption I made. It reads like it was a unilateral decision on their part and not something that got buy in from the team.