### Apache Airflow Provider(s)

amazon

### Versions of Apache Airflow Providers



apache-airflow-providers-amazon | 2.4.0

### Apache Airflow version

2.2.3 (latest released)

### Operating System

Amazon Linux 2

### Deployment

MWAA

### Deployment details

_No response_

### What happened

Sagemaker Processing Operator no longer honors the `action_if_job_exists` param and always fails creation of a new processing job is a job with the name already exists. 

This happens because in a recent change, the function responsible for executing the job no longer honors the increment setting:

Change that breaks the increment: https://github.com/apache/airflow/commit/96dd70348ad7e31cfeae6d21af70671b41551fe9

New code: https://github.com/apache/airflow/blob/6734eb1d09a99dc519e89a59e2086cef09a87098/airflow/providers/amazon/aws/operators/sagemaker.py#L167

  

### What you expected to happen

When Sagemaker Processing operator is called with a job-name that already exists, the job creation should succeed with a name that is incremented by 1.   

### How to reproduce

invoke SageMakerProcessingOperator twice with the same job name while keeping action_if_job_exists as 'increment'.   

### Anything else

_No response_

### Are you willing to submit 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)

super().__init__(client_type="sagemaker", *args, **kwargs)
        self.s3_hook = S3Hook(aws_conn_id=self.aws_conn_id)
        self.logs_hook = AwsLogsHook(aws_conn_id=self.aws_conn_id)
    def tar_and_s3_upload(self, path: str, key: str, bucket: str) -> None:
        """
        Tar the local file or directory and upload to s3
        :param path: local file or directory
        :param key: s3 key
        :param bucket: s3 bucket
        :return: None
        """
        with tempfile.TemporaryFile() as temp_file:
            if os.path.isdir(path):
                files = [os.path.join(path, name) for name in os.listdir(path)]
            else:
                files = [path]
            with tarfile.open(mode="w:gz", fileobj=temp_file) as tar_file:
                for f in files:
                    tar_file.add(f, arcname=os.path.basename(f))
            temp_file.seek(0)
            self.s3_hook.load_file_obj(temp_file, key, bucket, replace=True)
    def configure_s3_resources(self, config: dict) -> None: