### Description

Support [multinode job types](https://docs.aws.amazon.com/batch/latest/userguide/multi-node-parallel-jobs.html) in the [AWS Batch Operator](https://github.com/apache/airflow/blob/main/airflow/providers/amazon/aws/operators/batch.py). 

The [boto3 `submit_job` method](https://boto3.amazonaws.com/v1/documentation/api/1.9.88/reference/services/batch.html#Batch.Client.submit_job) supports container, multinode, and array batch jobs with the mutually exclusive `nodeOverrides` and `containerOverrides` (+ `arrayProperties`) parameters. But currently the AWS Batch Operator only supports submission of container jobs and array jobs by hardcoding the boto3 `submit_job` parameter `containerOverrides`: https://github.com/apache/airflow/blob/3c08cefdfd2e2636a714bb835902f0cb34225563/airflow/providers/amazon/aws/operators/batch.py#L200 & https://github.com/apache/airflow/blob/3c08cefdfd2e2636a714bb835902f0cb34225563/airflow/providers/amazon/aws/hooks/batch_client.py#L99


The [`get_job_awslogs_info`](https://github.com/apache/airflow/blob/main/airflow/providers/amazon/aws/hooks/batch_client.py#L419) method in the batch client hook is also hardcoded for the container type job: https://github.com/apache/airflow/blob/3c08cefdfd2e2636a714bb835902f0cb34225563/airflow/providers/amazon/aws/hooks/batch_client.py#L425

To support multinode jobs the `get_job_awslogs_info` method would need to access `nodeProperties` from the [`describe_jobs`](https://boto3.amazonaws.com/v1/documentation/api/1.9.88/reference/services/batch.html#Batch.Client.describe_jobs) response.

### Use case/motivation

Multinode jobs are a supported job type of AWS Batch, are supported by the underlying boto3 library, and should be also be available to be managed by Airflow. I've extended the AWS Batch Operator for our own use cases, but would prefer to not maintain a separate operator.

### Related issues

_No response_

### Are you willing to submit a PR?

- [X] 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)

"""
        Monitor an AWS Batch job
        monitor_job can raise an exception or an AirflowTaskTimeout can be raised if execution_timeout
        is given while creating the task. These exceptions should be handled in taskinstance.py
        instead of here like it was previously done
        :raises: AirflowException
        """
        if not self.job_id:
            raise AirflowException("AWS Batch job - job_id was not found")
        try:
            job_desc = self.hook.get_job_description(self.job_id)
            job_definition_arn = job_desc["jobDefinition"]
            job_queue_arn = job_desc["jobQueue"]
            self.log.info(
                "AWS Batch job (%s) Job Definition ARN: %r, Job Queue ARN: %r",
                self.job_id,
                job_definition_arn,
                job_queue_arn,
            )
        except KeyError:
            self.log.warning("AWS Batch job (%s) can't get Job Definition ARN and Job Queue ARN", self.job_id)
        else:
            BatchJobDefinitionLink.persist(
                context=context,
                operator=self,
                region_name=self.hook.conn_region_name,