Prevent pyspark/spark from transforming timestamp when creating a dataframe from a parquet file

Question

I am reading a parquet file into a dataframe. My goal is to verify that my time data (column type in parquet : timestamp) are ISO 8601.

The dates in time column look like this : 2021-03-13T05:34:27.100Z or 2021-03-13T05:34:27.100+0000

But when I read my dataframe, pyspark transform 2021-03-13T05:34:27.100Z into 2021-03-13 05:34:27.100

I want to keep the original format, but I can't figure out how to stop pyspark from doing this. I tried to use a custom schema with string for dates but I get this error: Parquet column cannot be converted in file file.snappy.parquet. Column: [time], Expected: string, Found: INT96

Also I tried using conf parameters but it didn't work for me.