### Apache Airflow Provider(s)

google

### Versions of Apache Airflow Providers

I'm using `apache-airflow-providers-google==8.2.0`, but it looks like the relevant code that's causing this to occur is still in use as of `8.8.0`.

### Apache Airflow version

2.3.2

### Operating System

Debian (from Docker image `apache/airflow:2.3.2-python3.10`)

### Deployment

Official Apache Airflow Helm Chart

### Deployment details

Deployed on an EKS cluster via Helm.

### What happened

The first task in one of my DAGs is to create an empty BigQuery table using the `BigQueryCreateEmptyTableOperator` as follows:

```python
create_staging_table = BigQueryCreateEmptyTableOperator(
    task_id="create_staging_table",
    dataset_id="my_dataset",
    table_id="tmp_table",
    schema_fields=[
        {"name": "field_1", "type": "TIMESTAMP", "mode": "NULLABLE"},
        {"name": "field_2", "type": "INTEGER", "mode": "NULLABLE"},
        {"name": "field_3", "type": "INTEGER", "mode": "NULLABLE"}
    ],
    exists_ok=False
)
```
Note that `exists_ok=False` explicitly here, but it is also the default value.

This task exits with a `SUCCESS` status even when `my_dataset.tmp_table` already exists in a given BigQuery project. The task returns the following logs:

```
[2023-02-02, 05:52:29 UTC] {bigquery.py:875} INFO - Creating table
[2023-02-02, 05:52:29 UTC] {bigquery.py:901} INFO - Table my_dataset.tmp_table already exists.
[2023-02-02, 05:52:30 UTC] {taskinstance.py:1395} INFO - Marking task as SUCCESS. dag_id=my_fake_dag, task_id=create_staging_table, execution_date=20230202T044000, start_date=20230202T055229, end_date=20230202T055230
[2023-02-02, 05:52:30 UTC] {local_task_job.py:156} INFO - Task exited with return code 0
```

### What you think should happen instead

Setting `exists_ok=False` should raise an exception and exit the task with a `FAILED` status if the table being created already exists in BigQuery.

### How to reproduce

1. Deploy Airflow 2.3.2 running Python 3.10 in some capacity
2. Ensure `apache-airflow-providers-google==8.2.0` (or 8.8.0, as I don't believe the issue has been fixed) is installed on the deployment.
3. Set up a GCP project and create a BigQuery dataset.
4. Create an empty BigQuery table with a schema.
5. Create a DAG that uses the `BigQueryCreateEmptyTableOperator` to create a new BigQuery table.
6. Run the DAG from Step 5 on the Airflow instance deployed in Step 1.
7.  Observe the task's status.

### Anything else

I believe the silent failure may be occurring [here](https://github.com/apache/airflow/blob/main/airflow/providers/google/cloud/operators/bigquery.py#L1377), as the `except` statement results in a log output, but doesn't actually raise an exception or change a state that would make the task fail.

If this is in fact the case, I'd be happy to submit a PR, but appreciate any input as to any error-handling standards/consistencies that this provider package maintains.

### 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)

"""
    Fetches the data from a BigQuery table (alternatively fetch data for selected columns)
    and returns data in a python list. The number of elements in the returned list will
    be equal to the number of rows fetched. Each element in the list will again be a list
    where element would represent the columns values for that row.
    **Example Result**: ``[['Tony', '10'], ['Mike', '20'], ['Steve', '15']]``
    .. seealso::
        For more information on how to use this operator, take a look at the guide:
        :ref:`howto/operator:BigQueryGetDataOperator`
    .. note::
        If you pass fields to ``selected_fields`` which are in different order than the
        order of columns already in
        BQ table, the data will still be in the order of BQ table.
        For example if the BQ table has 3 columns as
        ``[A,B,C]`` and you pass 'B,A' in the ``selected_fields``
        the data would still be of the form ``'A,B'``.
    **Example**: ::
        get_data = BigQueryGetDataOperator(
            task_id='get_data_from_bq',
            dataset_id='test_dataset',
            table_id='Transaction_partitions',
            project_id='internal-gcp-project',
            max_results=100,
            selected_fields='DATE',
            gcp_conn_id='airflow-conn-id'
        )
    :param dataset_id: The dataset ID of the requested table. (templated)
    :param table_id: The table ID of the requested table. (templated)
    :param project_id: (Optional) The name of the project where the data