**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/hooks/test_sagemaker.py
@mock.patch.object(AwsLogsHook, 'get_log_events')
    def test_multi_stream_iter(self, mock_log_stream):
        event = {'timestamp': 1}
        mock_log_stream.side_effect = [iter([event]), iter([]), None]
        hook = SageMakerHook()
        event_iter = hook.multi_stream_iter('log', [None, None, None])
        assert next(event_iter) == (0, event)
    @mock.patch.object(S3Hook, 'create_bucket')
    @mock.patch.object(S3Hook, 'load_file')
    def test_configure_s3_resources(self, mock_load_file, mock_create_bucket):
        hook = SageMakerHook()
        evaluation_result = {'Image': image, 'Role': role}
        hook.configure_s3_resources(test_evaluation_config)
        assert test_evaluation_config == evaluation_result
        mock_create_bucket.assert_called_once_with(bucket_name=bucket)
        mock_load_file.assert_called_once_with(path, key, bucket)
    @mock.patch.object(SageMakerHook, 'get_conn')
    @mock.patch.object(S3Hook, 'check_for_key')
    @mock.patch.object(S3Hook, 'check_for_bucket')
    @mock.patch.object(S3Hook, 'check_for_prefix')
    def test_check_s3_url(self, mock_check_prefix, mock_check_bucket, mock_check_key, mock_client):