### Apache Airflow Provider(s)

amazon

### Versions of Apache Airflow Providers

apache-airflow-providers-amazon = "7.3.0"

### Apache Airflow version

2.5.1

### Operating System

Debian GNU/Linux

### Deployment

Official Apache Airflow Helm Chart

### Deployment details

_No response_

### What happened

After updating the provider version to 7.3.0 from 6.0.0, our glue jobs started failing. We currently use the GlueJobOperator to run existing Glue jobs that we manage in Terraform.  The full traceback is below:
```
Traceback (most recent call last):
  File "/home/airflow/.local/lib/python3.9/site-packages/airflow/providers/amazon/aws/operators/glue.py", line 150, in execute
    glue_job_run = glue_job.initialize_job(self.script_args, self.run_job_kwargs)
  File "/home/airflow/.local/lib/python3.9/site-packages/airflow/providers/amazon/aws/hooks/glue.py", line 165, in initialize_job
    job_name = self.create_or_update_glue_job()
  File "/home/airflow/.local/lib/python3.9/site-packages/airflow/providers/amazon/aws/hooks/glue.py", line 325, in create_or_update_glue_job
    config = self.create_glue_job_config()
  File "/home/airflow/.local/lib/python3.9/site-packages/airflow/providers/amazon/aws/hooks/glue.py", line 108, in create_glue_job_config
    execution_role = self.get_iam_execution_role()
  File "/home/airflow/.local/lib/python3.9/site-packages/airflow/providers/amazon/aws/hooks/glue.py", line 143, in get_iam_execution_role
    glue_execution_role = iam_client.get_role(RoleName=self.role_name)
  File "/home/airflow/.local/lib/python3.9/site-packages/botocore/client.py", line 530, in _api_call
    return self._make_api_call(operation_name, kwargs)
  File "/home/airflow/.local/lib/python3.9/site-packages/botocore/client.py", line 919, in _make_api_call
    request_dict = self._convert_to_request_dict(
  File "/home/airflow/.local/lib/python3.9/site-packages/botocore/client.py", line 990, in _convert_to_request_dict
    request_dict = self._serializer.serialize_to_request(
  File "/home/airflow/.local/lib/python3.9/site-packages/botocore/validate.py", line 381, in serialize_to_request
    raise ParamValidationError(report=report.generate_report())
botocore.exceptions.ParamValidationError: Parameter validation failed:
Invalid type for parameter RoleName, value: None, type: <class 'NoneType'>, valid types: <class 'str'>
```


### What you think should happen instead

The operator creates a new job run for a glue job without additional configuration. 

### How to reproduce

Create a DAG with a GlueJobOperator without using `iam_role_name`. Example:

```python
task = GlueJobOperator(task_id="glue-task", job_name=<glue-job-name>)
```

### Anything else

_No response_

### Are you willing to submit PR?

- [ ] 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)

mock_get_iam_execution_role.return_value = {"Role": {"RoleName": "my_test_role", "Arn": "test_role"}}
        some_script = "s3:/glue-examples/glue-scripts/sample_aws_glue_job.py"
        some_s3_bucket = "my-includes"
        expected_job_name = "aws_test_glue_job_worker_type"
        glue_job = GlueJobHook(
            job_name=expected_job_name,
            desc="This is test case job from Airflow",
            script_location=some_script,
            iam_role_name="my_test_role",
            s3_bucket=some_s3_bucket,
            region_name=self.some_aws_region,
            create_job_kwargs={"WorkerType": "G.2X", "NumberOfWorkers": 60},
        )
        result = glue_job.create_or_update_glue_job()
        assert result == expected_job_name
    @mock.patch.object(GlueJobHook, "get_iam_execution_role")
    @mock.patch.object(GlueJobHook, "get_conn")
    def test_init_worker_type_value_error(self, mock_get_conn, mock_get_iam_execution_role):