Seems that file is corrupted maybe you can ignore them by setting:

spark.conf.set("spark.sql.files.ignoreCorruptFiles", "true")

you can also check that setting:

sqlContext.setConf("spark.sql.parquet.filterPushdown","false")

you can register your files as table (pointed to that location with files) with correct schema set and than try to run:

%sql

MSCK REPAIR TABLE table_name

https://spark.apache.org/docs/3.0.0-preview/sql-ref-syntax-ddl-repair-table.html