#DataArchitectStudio #DataEngineering #DataQuality #InterviewPrep #TechInterviews #2025Guide
Struggling with 2025 data engineering interviews? This video reveals the top 10 data quality questions asked at Google, Amazon & Uber. Learn data quality dimensions, validation frameworks, and pipeline monitoring strategies with real examples
🔍 What You’ll Learn:
Key data quality dimensions every engineer MUST know
How to design data validation checks for pipelines
Strategies to handle missing or duplicate data
Tools for data quality monitoring (Great Expectations, Deequ)
Scenario-based questions + sample answers
What is Data Quality?
What are Essential Data Quality Dimensions?
Where to Apply Data Quality Checks in Pipeline Architecture?
What are Common Data Quality Checks & Sanity Tests?
How to Measure Data Quality Health?
Best Tools/Libraries for Data Quality (2025)
How Does Great Expectations Ensure Data Validation?
Implementing Deequ for Spark Data Quality
Scaling Data Quality Checks for Big Data
Dynamic Data Quality Check Management
#DataArchitectStudio #DataEngineering #DataQuality #InterviewPrep #TechInterviews #2025Guide
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FAANG data engineer interview
data quality tools (Great Expectations, Deequ)
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