### 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)

kwargs["MaxResults"] = sagemaker_max_results
            else:
                kwargs["MaxResults"] = min(max_results - len(results), sagemaker_max_results)
            response = partial_func(**kwargs)
            self.log.debug("Fetched %s results.", len(response[result_key]))
            results.extend(response[result_key])
            if "NextToken" not in response or (max_results is not None and len(results) == max_results):
                
                return results
            else:
                next_token = response["NextToken"]
    def find_processing_job_by_name(self, processing_job_name: str) -> bool:
        """Query processing job by name"""
        try:
            self.get_conn().describe_processing_job(ProcessingJobName=processing_job_name)
            return True
        except ClientError as e:
            if e.response["Error"]["Code"] in ["ValidationException", "ResourceNotFound"]:
                return False
            raise
    def delete_model(self, model_name: str):
        """Delete SageMaker model
        :param model_name: name of the model
        """
        try:
            self.get_conn().delete_model(ModelName=model_name)
        except Exception as general_error:
            self.log.error("Failed to delete model, error: %s", general_error)
            raise