**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
{'nextForwardToken': None, 'events': [{'timestamp': 1, 'message': 'hi there #1'}]},
    {'nextForwardToken': None, 'events': []},
]
STREAM_LOG_EVENTS = [
    {'nextForwardToken': None, 'events': [{'timestamp': 1, 'message': 'hi there #1'}]},
    {'nextForwardToken': None, 'events': []},
    {
        'nextForwardToken': None,
        'events': [{'timestamp': 1, 'message': 'hi there #1'}, {'timestamp': 2, 'message': 'hi there #2'}],
    },
    {'nextForwardToken': None, 'events': []},
    {
        'nextForwardToken': None,
        'events': [
            {'timestamp': 2, 'message': 'hi there #2'},
            {'timestamp': 2, 'message': 'hi there #2a'},
            {'timestamp': 3, 'message': 'hi there #3'},
        ],
    },
    {'nextForwardToken': None, 'events': []},
]
test_evaluation_config = {
    'Image': image,
    'Role': role,
    'S3Operations': {
        'S3CreateBucket': [{'Bucket': bucket}],
        'S3Upload': [{'Path': path, 'Bucket': bucket, 'Key': key, 'Tar': False}],
    },
}
class TestSageMakerHook(unittest.TestCase):