### Description

Add feature to EmrStepSensor to bring back the spark task url & logs after task execution

### Use case/motivation

After starting an EMR step task using EmrAddStepsOperator we generally have an EmrStepSensor to track the status of the step. The job ID is available for the sensor and is being poked at regular interval. 

```
[2022-04-26, 22:07:43 UTC] {base_aws.py:100} INFO - Retrieving region_name from Connection.extra_config['region_name']
[2022-04-26, 22:07:44 UTC] {emr.py:316} INFO - Poking step s-123ABC123ABC on cluster j-123ABC123ABC
[2022-04-26, 22:07:44 UTC] {emr.py:74} INFO - Job flow currently PENDING
[2022-04-26, 22:08:44 UTC] {emr.py:316} INFO - Poking step s-123ABC123ABC on cluster j-123ABC123ABC
[2022-04-26, 22:08:44 UTC] {emr.py:74} INFO - Job flow currently PENDING
[2022-04-26, 22:09:44 UTC] {emr.py:316} INFO - Poking step s-123ABC123ABC on cluster j-123ABC123ABC
[2022-04-26, 22:09:44 UTC] {emr.py:74} INFO - Job flow currently COMPLETED
[2022-04-26, 22:09:44 UTC] {base.py:251} INFO - Success criteria met. Exiting.
[2022-04-26, 22:09:44 UTC] {taskinstance.py:1288} INFO - Marking task as SUCCESS. dag_id=datapipeline_sample, task_id=calculate_pi_watch_step, execution_date=20220426T220739, start_date=20220426T220743, end_date=20220426T220944
```

After the task is completed the status is displayed. If the user wants to review the logs of the task, it is a multistep process to get hold of the job logs from EMR cluster. 

It will be a great addition to add the log url and possibly relay the logs to Airflow EmrStepSensor post completion of the task. This will be very handy when there are failures of many tasks and will make it a great user experience. 


### Related issues

_No response_

### Are you willing to submit a 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)

raise ValueError(f"The key {key} already exists.")
        extra_args = self.extra_args
        if encrypt:
            extra_args["ServerSideEncryption"] = "AES256"
        if gzip:
            with open(filename, "rb") as f_in:
                filename_gz = f"{f_in.name}.gz"
                with gz.open(filename_gz, "wb") as f_out:
                    shutil.copyfileobj(f_in, f_out)
                    filename = filename_gz
        if acl_policy:
            extra_args["ACL"] = acl_policy
        client = self.get_conn()
        client.upload_file(filename, bucket_name, key, ExtraArgs=extra_args, Config=self.transfer_config)
    @provide_bucket_name
    @unify_bucket_name_and_key
    def load_string(
        self,
        string_data: str,
        key: str,
        bucket_name: str | None = None,
        replace: bool = False,
        encrypt: bool = False,
        encoding: str | None = None,
        acl_policy: str | None = None,
        compression: str | None = None,
    ) -> None:
        """
        Loads a string to S3
        This is provided as a convenience to drop a string in S3. It uses the