### Apache Airflow Provider(s)

microsoft-azure

### Versions of Apache Airflow Providers

apache-airflow-providers-microsoft-azure==3.1.1

### Apache Airflow version

2.1.2

### Operating System

OSX 

### Deployment

Docker-Compose

### Deployment details

_No response_

### What happened

`_get_blob_client` method in the wasb hook is trying to create a container


### What you expected to happen

I expect to get a container client of an existing container

### How to reproduce

_No response_

### Anything else

I believe the fix is minor, e.g.

```
def _get_blob_client(self, container_name: str, blob_name: str) -> BlobClient:
        """
        Instantiates a blob client

        :param container_name: The name of the blob container
        :type container_name: str
        :param blob_name: The name of the blob. This needs not be existing
        :type blob_name: str
        """
        container_client = self.create_container(container_name)
        return container_client.get_blob_client(blob_name)
```

should be changed to 

```
def _get_blob_client(self, container_name: str, blob_name: str) -> BlobClient:
        """
        Instantiates a blob client

        :param container_name: The name of the blob container
        :type container_name: str
        :param blob_name: The name of the blob. This needs not be existing
        :type blob_name: str
        """
        container_client = self._get_container_client(container_name)
        return container_client.get_blob_client(blob_name)
```


### Are you willing to submit 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)

airflow/providers/microsoft/azure/hooks/wasb.py
self,
        container_name,
        blob_name,
        data,
        blob_type: str = 'BlockBlob',
        length: Optional[int] = None,
        **kwargs,
    ) -> Dict[str, Any]:
        """
        Creates a new blob from a data source with automatic chunking.
        :param container_name: The name of the container to upload data
        :type container_name: str
        :param blob_name: The name of the blob to upload. This need not exist in the container
        :type blob_name: str
        :param data: The blob data to upload
        :param blob_type: The type of the blob. This can be either ``BlockBlob``,
            ``PageBlob`` or ``AppendBlob``. The default value is ``BlockBlob``.
        :type blob_type: storage.BlobType
        :param length: Number of bytes to read from the stream. This is optional,
            but should be supplied for optimal performance.
        :type length: int
        """
        blob_client = self._get_blob_client(container_name, blob_name)
        return blob_client.upload_blob(data, blob_type, length=length, **kwargs)
    def download(