### Apache Airflow version

Other Airflow 2 version (please specify below)

### What happened

version 2.6.2

An error occurs when *.json is included in the parameters of BigQueryInsertJobOperator.
``` py
to_gcs_task = BigQueryInsertJobOperator(
        dag=dag,
        task_id='to_gcs',
        gcp_conn_id='xxxx',
        configuration={
            "extract": {
                 # The error occurred at this location.          
                "destinationUris": ['gs://xxx/yyy/*.json'],


                "sourceTable": {
                    "projectId": "abc",
                    "datasetId": "def",
                    "tableId": "ghi"
                },
                "destinationFormat": "NEWLINE_DELIMITED_JSON"
            }
        }
    )
```

error log 
```
jinja2.exceptions.TemplateNotFound: gs://xxx/yyy/*.json
```

### What you think should happen instead

According to the airflow.template.templater 
source : https://github.com/apache/airflow/blob/main/airflow/template/templater.py#L152
```py
      if isinstance(value, str):
            if any(value.endswith(ext) for ext in self.template_ext):  # A filepath.
                template = jinja_env.get_template(value)
            else:
                template = jinja_env.from_string(value)
            return self._render(template, context)
```

In the Jinja template source, if the value ends with .json or .sql, an attempt is made to read the resource file by calling jinja_env.get_template.

### How to reproduce

just call BigQueryInsertJobOperator with configuration what i added 

### Operating System

m2 mac

### Versions of Apache Airflow Providers

_No response_

### Deployment

Official Apache Airflow Helm Chart

### Deployment details

_No response_

### 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)

op = BaseOperator(task_id="test_task", weight_rule="upstream")
        assert WeightRule.UPSTREAM == op.weight_rule
    
    @pytest.mark.usefixtures("reset_logging_config")
    def test_logging_propogated_by_default(self, caplog):
        """Test that when set_context hasn't been called that log records are emitted"""
        BaseOperator(task_id="test").log.warning("test")
        
        
        
        assert caplog.messages == ["test"]
def test_init_subclass_args():
    class InitSubclassOp(BaseOperator):
        _class_arg: Any
        def __init_subclass__(cls, class_arg=None, **kwargs) -> None:
            cls._class_arg = class_arg
            super().__init_subclass__()
        def execute(self, context: Context):
            self.context_arg = context
    class_arg = "foo"
    context = {"key": "value"}
    class ConcreteSubclassOp(InitSubclassOp, class_arg=class_arg):
        pass
    task = ConcreteSubclassOp(task_id="op1")
    task_copy = task.prepare_for_execution()
    task_copy.execute(context)
    assert task_copy._class_arg == class_arg
    assert task_copy.context_arg == context
@pytest.mark.db_test
def test_operator_retries_invalid(dag_maker):