**Apache Airflow version**: 2.0.2


**Kubernetes version (if you are using kubernetes)** (use `kubectl version`): NA

**Environment**: MWAA and Locally

- **Cloud provider or hardware configuration**: AWS
- **OS** (e.g. from /etc/os-release): NA
- **Kernel** (e.g. `uname -a`): NA
- **Install tools**: NA
- **Others**: NA

**What happened**:

When calling the SagemakerProcessingOperator sometimes get: "botocore.exceptions.ClientError: An error occurred (ThrottlingException)" due to excessive ListProcessingJobs operations.

**What you expected to happen**:

The job should have started without timing out. I believe one fix would be to use the `NameContains` functionality of boto3 [list_processing_jobs](https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/sagemaker.html#SageMaker.Client.list_processing_jobs) so you don't have to paginate as is occurring [here](https://github.com/apache/airflow/blob/main/airflow/providers/amazon/aws/hooks/sagemaker.py#L916). 

**How to reproduce it**:

If you incrementally create Sagemaker Processing jobs you will eventually see the Throttling as the pagination increases.

**Anything else we need to know**:

This looks like it is happening when the account already has a lot of former Sagemaker Processing jobs.
tests/providers/amazon/aws/operators/test_sagemaker_processing.py
}
    ],
    "ProcessingJobName": job_name,
    "ProcessingOutputConfig": {
        "KmsKeyId": "KmsKeyID",
        "Outputs": [
            {
                "OutputName": "AnalyticsOutputName",
                "S3Output": {
                    "LocalPath": "{{ Local Path }}",
                    "S3UploadMode": "EndOfJob",
                    "S3Uri": "{{ S3Uri }}",
                },
            }
        ],
    },
    "ProcessingResources": {
        "ClusterConfig": {
            "InstanceCount": 2,
            "InstanceType": "ml.p2.xlarge",
            "VolumeSizeInGB": 30,
            "VolumeKmsKeyId": "{{ kms_key }}",
        }
    },
    "RoleArn": "arn:aws:iam::0122345678910:role/SageMakerPowerUser",
    "Tags": [{"{{ key }}": "{{ value }}"}],
}
create_processing_params_with_stopping_condition = create_processing_params.copy()
create_processing_params_with_stopping_condition.update(StoppingCondition={"MaxRuntimeInSeconds": 3600})
class TestSageMakerProcessingOperator(unittest.TestCase):