### 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)

"--bar",
            "bar",
            "--start",
            "{{ macros.ds_add(ds, -1)}}",
            "--end",
            "{{ ds }}",
            "--with-spaces",
            "args should keep embedded spaces",
        ],
        "use_krb5ccache": True,
    }
    def setup_method(self):
        args = {"owner": "airflow", "start_date": DEFAULT_DATE}
        self.dag = DAG("test_dag_id", default_args=args)
    def test_execute(self):
        
        conn_id = "spark_default"
        operator = SparkSubmitOperator(
            task_id="spark_submit_job",
            spark_binary="sparky",
            dag=self.dag,
            **self._config,
        )
        
        expected_dict = {
            "conf": {"parquet.compression": "SNAPPY"},
            "files": "hive-site.xml",
            "py_files": "sample_library.py",
            "archives": "sample_archive.zip#SAMPLE",
            "driver_class_path": "parquet.jar",