### Description

Currently, the BigQueryGetDataOperator always utilizes legacy SQL when submitting jobs (set as the default by the BQ API). This approach may cause problems when using standard SQL features, such as names for projects, datasets, or tables that include hyphens (which is very common nowadays). We would like to make it configurable, so users can set a flag in the operator to enable the use of standard SQL instead.

### Use case/motivation

When implementing #30887 to address #24460, I encountered some unusual errors, which were later determined to be related to the usage of hyphens in the GCP project ID name.

### Related issues

- #24460
- #28522 (PR) adds this parameter to `BigQueryCheckOperator`

### Are you willing to submit a 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