### 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)

{
            "ChannelName": "train_fs",
            "DataSource": {
                "FileSystemDataSource": {
                    "DirectoryPath": "/tmp",
                    "FileSystemAccessMode": "ro",
                    "FileSystemId": "fs-abc",
                    "FileSystemType": "FSxLustre",
                }
            },
            "CompressionType": "None",
            "RecordWrapperType": "None",
        },
    ],
}
create_tuning_params = {
    "HyperParameterTuningJobName": job_name,
    "HyperParameterTuningJobConfig": {
        "Strategy": "Bayesian",
        "HyperParameterTuningJobObjective": {"Type": "Maximize", "MetricName": "test_metric"},
        "ResourceLimits": {"MaxNumberOfTrainingJobs": 123, "MaxParallelTrainingJobs": 123},
        "ParameterRanges": {
            "IntegerParameterRanges": [
                {"Name": "k", "MinValue": "2", "MaxValue": "10"},
            ]
        },
    },
    "TrainingJobDefinition": {
        "StaticHyperParameters": create_training_params["HyperParameters"],
        "AlgorithmSpecification": create_training_params["AlgorithmSpecification"],