### 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)

:param maximum_billing_tier: Positive integer that serves as a multiplier
        of the basic price.
        Defaults to None, in which case it uses the value set in the project.
    :param maximum_bytes_billed: Limits the bytes billed for this job.
        Queries that will have bytes billed beyond this limit will fail
        (without incurring a charge). If unspecified, this will be
        set to your project default.
    :param api_resource_configs: a dictionary that contain params
        'configuration' applied for Google BigQuery Jobs API:
        https://cloud.google.com/bigquery/docs/reference/rest/v2/jobs
        for example, {'query': {'useQueryCache': False}}. You could use it
        if you need to provide some params that are not supported by BigQueryOperator
        like args.
    :param schema_update_options: Allows the schema of the destination
        table to be updated as a side effect of the load job.
    :param query_params: a list of dictionary containing query parameter types and
        values, passed to BigQuery. The structure of dictionary should look like
        'queryParameters' in Google BigQuery Jobs API:
        https://cloud.google.com/bigquery/docs/reference/rest/v2/jobs.
        For example, [{ 'name': 'corpus', 'parameterType': { 'type': 'STRING' },
        'parameterValue': { 'value': 'romeoandjuliet' } }]. (templated)
    :param labels: a dictionary containing labels for the job/query,
        passed to BigQuery
    :param priority: Specifies a priority for the query.
        Possible values include INTERACTIVE and BATCH.
        The default value is INTERACTIVE.
    :param time_partitioning: configure optional time partitioning fields i.e.
        partition by field, type and expiration as per API specifications.
    :param cluster_fields: Request that the result of this query be stored sorted
        by one or more columns. BigQuery supports clustering for both partitioned and