Top 11
Prep plan
Updated weekly · Last refresh Aug 30

CoffeeBeans Data Engineer Interview Questions

The questions to prepare for a CoffeeBeans Data Engineer interview. Questions from real interview reports rank first. Updated weekly.

11questions
~2htotal time
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1
SQL & Data ManipulationStart here. 6 questions + 2 drills · ~75 min
Second Highest Without AggregatesHard
Practice

Find the second highest salary in each department without using aggregate functions.

SubqueriesRankingSelf-JoinsCoffeeBeans
Explain SQL Join TypesEasy

Explain INNER, LEFT, RIGHT, FULL OUTER, CROSS, and SELF JOINs with examples and when to use each.

JoinsData WranglingGroup ByCoffeeBeans
Optimize Query on Large DatasetHard

Tests performance tuning strategies for large-scale SQL workloads.

large datasetsperformancequery optimizationCoffeeBeans
Complex Joins and AggregationsMedium

Tests ability to design correct and performant SQL for large-scale data transformations.

Performance TuningJoinsAggregationsCoffeeBeans
Top Customers by Net SalesMedium
Practice
Practice drill

Compute top 10 customers by net sales using joins and aggregations, ordering by revenue with deterministic tie-breaking.

SubqueriesJoinsData WranglingGain DigitalTCSZest AI
Monthly Sales Trends by CategoryMedium
Practice
Practice drill

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

InfrastructureToolsData WranglingTotal Wine & MoreInc.Benjamin Moore
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2
Pipelines5 questions · ~45 min
Batch vs Stream Processing Trade-offsMedium

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

InfrastructureStream ProcessingETLCoffeeBeans
Snowflake Micro-PartitioningMedium

Tests Snowflake internals knowledge and its effect on performance and cost.

performance optimizationCoffeeBeans
Data Pruning for Cost and PerformanceMedium

Tests understanding of pruning mechanisms and how they reduce scanned data in warehouses.

cost optimizationperformanceCoffeeBeans
Caching Strategies in WarehousesMedium

Tests ability to use caching to improve latency and reduce compute costs in warehouse workloads.

performancecachingdata warehouseCoffeeBeans
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The finish line: interview-readyComplete all 11 questions plus 2 hands-on drills to finish this plan.