### Apache Airflow Provider(s)

google

### Versions of Apache Airflow Providers

apache-airflow-providers-google==8.11.0
google-cloud-bigquery==2.34.4

### Apache Airflow version

2.5.2+astro.2

### Operating System

OSX

### Deployment

Astronomer

### Deployment details

_No response_

### What happened

When setting a `project_id` parameter for `BigQueryGetDataOperator` the default project from env is not overwritten. Maybe something broke after it was added in? https://github.com/apache/airflow/pull/25782

### What you think should happen instead

Passing in as parameter should take precedence over reading in from environment

### How to reproduce

Part1 

```py
from airflow.providers.google.cloud.operators.bigquery import BigQueryGetDataOperator

bq = BigQueryGetDataOperator(
  task_id=f"my_test_query_task_id",
  gcp_conn_id="bigquery",
  table_id="mytable",
  dataset_id="mydataset",
  project_id="my_non_default_project",
)
f2 = bq.execute(None)
```

in env i have set
```py
AIRFLOW_CONN_BIGQUERY=gcpbigquery://
GOOGLE_CLOUD_PROJECT=my_primary_project
GOOGLE_APPLICATION_CREDENTIALS=/usr/local/airflow/gcloud/application_default_credentials.json
```

The credentials json file doesn't have project

Part2

Unsetting GOOGLE_CLOUD_PROJECT and rerunning results in 

```sh
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/usr/local/lib/python3.9/site-packages/airflow/providers/google/cloud/operators/bigquery.py", line 886, in execute
    schema: dict[str, list] = hook.get_schema(
  File "/usr/local/lib/python3.9/site-packages/airflow/providers/google/common/hooks/base_google.py", line 463, in inner_wrapper
    raise AirflowException(
airflow.exceptions.AirflowException: The project id must be passed either as keyword project_id parameter or as project_id extra in Google Cloud connection definition. Both are not set!
```

### Anything else

_No response_

### 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)

"""
    Performs checks against BigQuery. The ``BigQueryCheckOperator`` expects
    a sql query that will return a single row. Each value on that
    first row is evaluated using python ``bool`` casting. If any of the
    values return ``False`` the check is failed and errors out.
    .. seealso::
        For more information on how to use this operator, take a look at the guide:
        :ref:`howto/operator:BigQueryCheckOperator`
    Note that Python bool casting evals the following as ``False``:
    * ``False``
    * ``0``
    * Empty string (``""``)
    * Empty list (``[]``)
    * Empty dictionary or set (``{}``)
    Given a query like ``SELECT COUNT(*) FROM foo``, it will fail only if
    the count ``== 0``. You can craft much more complex query that could,
    for instance, check that the table has the same number of rows as
    the source table upstream, or that the count of today's partition is
    greater than yesterday's partition, or that a set of metrics are less
    than 3 standard deviation for the 7 day average.
    This operator can be used as a data quality check in your pipeline, and
    depending on where you put it in your DAG, you have the choice to
    stop the critical path, preventing from