### 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)

self,
        *,
        config: dict,
        aws_conn_id: str = DEFAULT_CONN_ID,
        wait_for_completion: bool = True,
        print_log: bool = True,
        check_interval: int = CHECK_INTERVAL_SECOND,
        max_ingestion_time: int | None = None,
        check_if_job_exists: bool = True,
        action_if_job_exists: str = "increment",
        **kwargs,
    ):
        super().__init__(config=config, **kwargs)
        self.aws_conn_id = aws_conn_id
        self.wait_for_completion = wait_for_completion
        self.print_log = print_log
        self.check_interval = check_interval
        self.max_ingestion_time = max_ingestion_time
        self.check_if_job_exists = check_if_job_exists
        if action_if_job_exists in ("increment", "fail"):
            self.action_if_job_exists = action_if_job_exists
        else:
            raise AirflowException(
                f"Argument action_if_job_exists accepts only 'increment' and 'fail'. \
                Provided value: '{action_if_job_exists}'."
            )
    def expand_role(self) -> None: