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Updated weekly · Last refresh Sep 13

Top 50 ETL Interview Questions

The most frequently asked ETL questions across all roles and companies, ranked by real interview frequency. Updated daily.

50questions
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2,092companies covered
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1
SQL & Data ManipulationStart here. 7 questions · ~67 min
Monthly Sales Trends by CategoryMedium
Practice

Aggregate monthly sales by product category and use LAG to calculate month-over-month changes.

InfrastructureToolsData WranglingTotal Wine & MoreInc.Benjamin Moore
Contact Center Agent Performance MetricsHard
Practice
Recently asked

Compute daily agent call KPIs and SLA using joins, aggregations, and window ranking in a contact center model.

ETLAggregationsData ModelingADP
Clean Event Statuses for AnalysisEasy
Practice

Clean raw status text with TRIM and LOWER, filter unusable rows, and count usable events by cleaned status.

Data WranglingETLQualityDatabricks
Handle Missing Financial Input ValuesMedium
Practice

Use joins, CTEs, and CASE logic to flag and fill missing financial fields for Qlik planning records.

Data WranglingETLQualityQlik
Streamline Month-End Report RefreshMedium
Practice

Use joins, date filtering, and aggregation to produce a faster month-end report from cleaned transaction data.

Data WranglingETLAutomationASI (Advertising Specialty Institute)
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2
Pipelines42 questions · ~401 min
Batch vs Stream Processing Trade-offsMedium
Recently asked

Compare batch and stream processing across latency, complexity, cost, and data quality in a modern analytics pipeline.

InfrastructureStream ProcessingETLMicroStrategyZendeskAlabama Staffing
Backfilling Missing Pipeline DataMedium
Recently asked

Approach for safely backfilling missing data while preserving correctness, idempotency, and data quality.

ETLQualityBread FinancialInfobloxAlabama Staffing
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3
More topics1 question · ~10 min
Handle Missing Values in DataFrameEasy
Practice

Problem Given a list of data values, including some missing or null values represented by None, implement a function that returns a cleaned list. The clean...

Data WranglingETL
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