**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.
airflow/providers/amazon/aws/hooks/sagemaker.py
self,
        job_name: str,
        key: str,
        describe_function: Callable,
        check_interval: int,
        max_ingestion_time: Optional[int] = None,
        non_terminal_states: Optional[Set] = None,
    ):
        """
        Check status of a SageMaker job
        :param job_name: name of the job to check status
        :type job_name: str
        :param key: the key of the response dict
            that points to the state
        :type key: str
        :param describe_function: the function used to retrieve the status
        :type describe_function: python callable
        :param args: the arguments for the function
        :param check_interval: the time interval in seconds which the operator
            will check the status of any SageMaker job
        :type check_interval: int
        :param max_ingestion_time: the maximum ingestion time in seconds. Any
            SageMaker jobs that run longer than this will fail. Setting this to
            None implies no timeout for any SageMaker job.
        :type max_ingestion_time: int
        :param non_terminal_states: the set of nonterminal states
        :type non_terminal_states: set