Raising Standards and Quality Expectations Questions
Examples of raising quality standards in your team or organization, improving engineering practices, pushing for excellence even when harder path. How you prevent mediocrity.
MediumTechnical
0 practiced
Design a test data strategy for analytics teams that need representative datasets without leaking PII. Discuss synthetic data generation, differential privacy techniques, sampling strategies, masking, and how you'd validate that synthetic data preserves key analytical properties.
HardSystem Design
0 practiced
Design a large-scale contract testing and schema governance system that enables safe schema evolution across hundreds of producers and consumers. Explain the schema registry storage model, automated compatibility checks in CI, executing consumer contract tests (including matrix execution), governance approval workflows, and rollback paths for breaking changes.
EasyTechnical
0 practiced
Implement in Python a function validate_row(row: dict, schema: dict) -> List[str] that checks required fields, primitive types (int/float/str/bool), and non-null constraints, returning a list of error messages for violations. Keep the implementation simple and explain how you'd unit test edge cases like missing keys or wrong types.
MediumTechnical
0 practiced
You have a PySpark function transform(df: DataFrame) -> DataFrame that cleans event timestamps, deduplicates by event_id, and computes daily user counts. Describe how you'd write unit tests and integration tests for this function: include sample fixtures, how to assert DataFrame equality when order is not guaranteed, spinning up Spark in CI, and validating deterministic correctness.
EasyBehavioral
0 practiced
Tell me about a time you discovered a recurring data quality issue in production (e.g., missing partitions, nulls in a key column, duplicated keys). Describe the situation, how you investigated the root cause, who you involved, the immediate mitigation you applied, and the long-term changes you implemented to prevent recurrence.
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