from feast import FeatureStore
  from feast.data_source import PushMode
  import pandas as pd
  from datetime import datetime, timezone

  # Assuming feature view with STRING_LIST field is configured
  data = {
      "entity_id": "test_123",
      "tags": ["category_a", "category_b"],  # STRING_LIST type
      "event_time": datetime.now(timezone.utc),
  }

  df = pd.DataFrame([data])
  store = FeatureStore(repo_path=".")
  store.push("my_push_source", df, to=PushMode.ONLINE_AND_OFFLINE)

  # Result in BigQuery: tags = [] (empty array)
  # Expected: tags = ["category_a", "category_b"]

  @staticmethod
  def offline_write_batch(
      config: RepoConfig,
      feature_view: FeatureView,
      table: pyarrow.Table,
      progress: Optional[Callable[[int], Any]],
  ):
      # ... existing code ...

      parquet_options = bigquery.ParquetOptions()
      parquet_options.enable_list_inference = True

      job_config = bigquery.LoadJobConfig(
          source_format=bigquery.SourceFormat.PARQUET,
          schema=arrow_schema_to_bq_schema(pa_schema),
          create_disposition=config.offline_store.table_create_disposition,
          write_disposition="WRITE_APPEND",
          parquet_options=parquet_options,  # Add this line
      )
      # ... rest of code ...