### 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)

"""
        Return the endpoint config info associated with the name
        :param name: the name of the endpoint config
        :return: A dict contains all the endpoint config info
        """
        return self.get_conn().describe_endpoint_config(EndpointConfigName=name)
    def describe_endpoint(self, name: str) -> dict:
        """
        :param name: the name of the endpoint
        :return: A dict contains all the endpoint info
        """
        return self.get_conn().describe_endpoint(EndpointName=name)
    def check_status(
        self,
        job_name: str,
        key: str,
        describe_function: Callable,
        check_interval: int,
        max_ingestion_time: int | None = None,
        non_terminal_states: set | None = None,
    ):
        """
        Check status of a SageMaker job
        :param job_name: name of the job to check status
        :param key: the key of the response dict
            that points to the state
        :param describe_function: the function used to retrieve the status
        :param args: the arguments for the function
        :param check_interval: the time interval in seconds which the operator
            will check the status of any SageMaker job