@@ -2404,8 +2404,9 @@ def _materialize_odfv(
     ):
         """Helper to materialize a single OnDemandFeatureView."""
         if not feature_view.source_feature_view_projections:
-            print(
-                f"[WARNING] ODFV {feature_view.name} materialization: No source feature views found."
+            _logger.warning(
+                "ODFV %s materialization: No source feature views found.",
+                feature_view.name,
             )
             return
         start_date = utils.make_tzaware(start_date)
@@ -2432,20 +2433,27 @@ def _materialize_odfv(
         all_join_keys = {key for key in all_join_keys if key}
 
         if not all_join_keys:
-            print(
-                f"[WARNING] ODFV {feature_view.name} materialization: No join keys found in source views. Cannot create entity_df. Skipping."
+            _logger.warning(
+                "ODFV %s materialization: No join keys found in source views. "
+                "Cannot create entity_df. Skipping.",
+                feature_view.name,
             )
             return
 
         if len(entity_timestamp_col_names) > 1:
-            print(
-                f"[WARNING] ODFV {feature_view.name} materialization: Found multiple timestamp columns in sources ({entity_timestamp_col_names}). This is not supported. Skipping."
+            _logger.warning(
+                "ODFV %s materialization: Found multiple timestamp columns in "
+                "sources (%s). This is not supported. Skipping.",
+                feature_view.name,
+                entity_timestamp_col_names,
             )
             return
 
         if not entity_timestamp_col_names:
-            print(
-                f"[WARNING] ODFV {feature_view.name} materialization: No batch sources with timestamp columns found for sources. Skipping."
+            _logger.warning(
+                "ODFV %s materialization: No batch sources with timestamp "
+                "columns found for sources. Skipping.",
+                feature_view.name,
             )
             return
 
@@ -2474,8 +2482,10 @@ def _materialize_odfv(
                 all_source_dfs.append(df)
 
         if not all_source_dfs:
-            print(
-                f"No source data found for ODFV {feature_view.name} in the given time range. Skipping materialization."
+            _logger.warning(
+                "No source data found for ODFV %s in the given time range. "
+                "Skipping materialization.",
+                feature_view.name,
             )
             return
 
 
@@ -1,4 +1,6 @@
+import logging
 from dataclasses import dataclass
+from datetime import datetime
 from typing import Dict, List
 from unittest.mock import MagicMock, patch
 
@@ -181,3 +183,29 @@ def test_write_to_offline_store_resolves_feature_view_with_single_lookup():
     registry.get_label_view.assert_not_called()
 
     provider.ingest_df_to_offline_store.assert_called_once()
+
+
+def test_materialize_odfv_reports_skips_through_the_logger(caplog, capsys):
+    """``_materialize_odfv`` must report a skipped materialization via the logger.
+
+    The method gives up on five different conditions and returns without materializing
+    anything. Those messages went to stdout with a hand-rolled ``[WARNING]`` prefix, so a
+    user's logging configuration could not silence, redirect or capture them, and nothing
+    about the skip reached the log.
+    """
+    store = FeatureStore.__new__(FeatureStore)
+
+    feature_view = MagicMock()
+    feature_view.name = "driver_hourly_stats_odfv"
+    feature_view.source_feature_view_projections = {}
+
+    with caplog.at_level(logging.WARNING, logger="feast.feature_store"):
+        store._materialize_odfv(
+            feature_view,
+            start_date=datetime(2024, 1, 1),
+            end_date=datetime(2024, 1, 2),
+            full_feature_names=False,
+        )
+
+    assert "No source feature views found" in caplog.text
+    assert capsys.readouterr().out == ""