### 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)

from airflow.providers.amazon.aws.operators.sagemaker import SageMakerProcessingOperator
CREATE_PROCESSING_PARAMS: dict = {
    "AppSpecification": {
        "ContainerArguments": ["container_arg"],
        "ContainerEntrypoint": ["container_entrypoint"],
        "ImageUri": "image_uri",
    },
    "Environment": {"key": "value"},
    "ExperimentConfig": {
        "ExperimentName": "experiment_name",
        "TrialComponentDisplayName": "trial_component_display_name",
        "TrialName": "trial_name",
    },
    "ProcessingInputs": [
        {
            "InputName": "analytics_input_name",
            "S3Input": {
                "LocalPath": "local_path",
                "S3CompressionType": "None",
                "S3DataDistributionType": "FullyReplicated",
                "S3DataType": "S3Prefix",
                "S3InputMode": "File",
                "S3Uri": "s3_uri",
            },
        }
    ],
    "ProcessingJobName": "job_name",
    "ProcessingOutputConfig": {
        "KmsKeyId": "kms_key_ID",
        "Outputs": [