### Description


spark-submit command has one of the options to pass the properties file as argument. Instead of loading multiple key, value via --conf option, this will help to load extra properties from the file path. While we have support for most of the arguments supported in spark-submit command in SparkSubmitOperator, this one `property-files` is missing. Could that be included?
```[root@airflow ~]# spark-submit --help
Usage: spark-submit [options] <app jar | python file | R file> [app arguments]
Usage: spark-submit --kill [submission ID] --master [spark://...]
Usage: spark-submit --status [submission ID] --master [spark://...]
Usage: spark-submit run-example [options] example-class [example args]

Options:

 --conf, -c PROP=VALUE       Arbitrary Spark configuration property.
  --properties-file FILE      Path to a file from which to load extra properties. If not
                              specified, this will look for conf/spark-defaults.conf.
```


### Use case/motivation

Add the property-files as one of the options to pass in the SparkSubmitOperator to load the extra config properties as file

### Related issues

_No response_

### Are you willing to submit a PR?

- [X] Yes I am willing to submit a PR!

### Code of Conduct

- [X] I agree to follow this project's [Code of Conduct](https://github.com/apache/airflow/blob/main/CODE_OF_CONDUCT.md)

"""
    Wrap the spark-submit binary to kick off a spark-submit job; requires "spark-submit" binary in the PATH.
    :param conf: Arbitrary Spark configuration properties
    :param spark_conn_id: The :ref:`spark connection id <howto/connection:spark>` as configured
        in Airflow administration. When an invalid connection_id is supplied, it will default
        to yarn.
    :param files: Upload additional files to the executor running the job, separated by a
        comma. Files will be placed in the working directory of each executor.
        For example, serialized objects.
    :param py_files: Additional python files used by the job, can be .zip, .egg or .py.
    :param archives: Archives that spark should unzip (and possibly tag with #ALIAS) into
        the application working directory.
    :param driver_class_path: Additional, driver-specific, classpath settings.
    :param jars: Submit additional jars to upload and place them in executor classpath.
    :param java_class: the main class of the Java application
    :param packages: Comma-separated list of maven coordinates of jars to include on the
        driver and executor classpaths
    :param exclude_packages: Comma-separated list of maven coordinates of jars to exclude
        while resolving the dependencies provided in 'packages'