### Apache Airflow Provider(s)

google

### Versions of Apache Airflow Providers

_No response_

### Apache Airflow version

2.1.4

### Operating System

Container-Optimized OS with Containerd

### Deployment

Composer

### Deployment details

_No response_

### What happened

I am trying to load some files from GCS to BigQuery. To get the list of files which matches the prefix, I am using the GoogleCloudStorageListOperator which pushes the output to XCOM.

XCOM Push from GoogleCloudStorageListOperator:
['file1.csv', 'file2.csv', 'file3.csv', 'file4.csv', 'file5.csv']

When I am pulling the list from XCOM to use for BigQuery Load operation, it is getting rendered like:
**[**['file1.csv', 'file2.csv', 'file3.csv', 'file4.csv', 'file5.csv']**]**

Due to this I am getting the below error in GCSToBigQueryOperator :
Source URI must not contain the ',' character: gs://inbound-bucket/[['file1.csv', 'file2.csv', 'file3.csv', 'file4.csv', 'file5.csv']]

The code I am using can be found below.
_dag = DAG(AIRFLOW_DAG_ID, default_args = default_values, description = "google_operator_test", catchup = False, max_active_runs = 1 ,render_template_as_native_obj=True, schedule_interval = None)
get_gcs_file_list = GoogleCloudStorageListOperator(
	task_id= "get_gcs_file_list_1",
	google_cloud_storage_conn_id = "temp_google_access",
	bucket= "inbound-bucket",
	prefix= source_object_location,
	delimiter= '.csv',
    dag = dag)
#Load the data from GCS to BQ
load_to_bq_stage = GCSToBigQueryOperator(
    task_id= "bqload",
    bigquery_conn_id = "temp_google_access",
    google_cloud_storage_conn_id  = "temp_google_access",
    bucket= "inbound-bucket",
    source_objects= '{{task_instance.xcom_pull(task_ids="get_gcs_file_list_1")}}',
    destination_project_dataset_table= dataset + "." + target_table,
    write_disposition='WRITE_TRUNCATE',
    field_delimiter = '|',
    dag=dag)_

### What you expected to happen

The list should be rendered as is by the GCSToBigQueryOperator.

### How to reproduce

1. Push a list of strings in to XCOM
2. Perform XCOM pull in  source_objects parameter of GCSToBigQueryOperator  like below,
source_objects ='{{task_instance.xcom_pull(task_ids="task_name")}}'
3. Notice that the rendered source_objects have an extra parenthesis added.

### Anything else

There is a validation performed in the operator’s constructor to check whether or not the source_objecst datatype is a list. If is it not a list, then it’s presumed to be a string and wrap it as a list.Because source_objects is a template field, the field value isn’t evaluated until the task runs (aka meaning the value isn’t rendered until the execute() method of the operator).
https://github.com/apache/airflow/blob/6eac2e0807a8be5f39178f079db28ebcd2f83621/airflow/providers/google/cloud/transfers/gcs_to_bigquery.py#L219

### 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)

airflow/providers/google/cloud/transfers/gcs_to_bigquery.py
"kmsKeyName": "projects/testp/locations/us/keyRings/test-kr/cryptoKeys/test-key"
            }
    :type encryption_configuration: dict
    :param location: [Optional] The geographic location of the job. Required except for US and EU.
        See details at https://cloud.google.com/bigquery/docs/locations#specifying_your_location
    :type location: str
    :param impersonation_chain: Optional service account to impersonate using short-term
        credentials, or chained list of accounts required to get the access_token
        of the last account in the list, which will be impersonated in the request.
        If set as a string, the account must grant the originating account
        the Service Account Token Creator IAM role.
        If set as a sequence, the identities from the list must grant
        Service Account Token Creator IAM role to the directly preceding identity, with first
        account from the list granting this role to the originating account (templated).
    :type impersonation_chain: Union[str, Sequence[str]]
    :param labels: [Optional] Labels for the BiqQuery table.
    :type labels: dict
    :param description: [Optional] Description for the BigQuery table.
    :type description: str
    """
    template_fields = (
        'bucket',
        'source_objects',
        'schema_object',
        'destination_project_dataset_table',
        'impersonation_chain',
    )
    template_ext = ('.sql',)
    ui_color = '#f0eee4'
    def __init__(