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Updated weekly · Last refresh Oct 17

AURORA Data Engineer Interview Questions

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

17questions
~3htotal time
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1
CodingStart here. 3 questions · ~30 min
Merge Two Sorted ArraysEasy
Practice

Merge two sorted arrays into one sorted array using a two-pointer linear scan.

ArraysSortingTwo PointersAURORA
Counting With MapsEasy
Practice

Use a Python dictionary to count how many times each element appears in a list.

Hash TablesaggregationMathAURORA
Deduplicating Records FunctionMedium

Tests algorithmic thinking and practical handling of duplicates for reliable datasets.

Hash TablesArraysSortingAURORA
2
Pipelines12 questions · ~120 min
Design Global Vehicle Telemetry PipelineHard

Design a global real-time telemetry pipeline for 500,000 active vehicles with high availability, replayability, and strong data quality controls.

Stream Processinghigh availabilitytelemetryAURORA
Describe a Complex Transformation PipelineMedium

Explain a complex ETL transformation you built, including the main challenges and how you handled them.

ETLData ModelingQualityAURORA
Cleaning Missing Values in PipelinesEasy

Approach for handling missing values in a pipeline with data quality checks and repeatable transformations.

Data WranglingETLQualityAURORA
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3
More topics2 questions · ~20 min
SQL vs NoSQL for Go-to-Market DataEasy

Explain how SQL and NoSQL differ in schema, consistency, scaling, and Demandbase-style analytics use cases.

JoinsData WranglingAURORA
SQL vs NoSQL Trade-offsEasy

Explain SQL vs NoSQL trade-offs, including schema design, consistency, scaling, and query flexibility.

JoinsData WranglingAggregationsAURORA
Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
SQL Crash Metrics Over 30 DaysHard
Practice
Practice drill

Aggregate nested crash events into daily and rolling 30-day metrics by vehicle class and region.

Window FunctionsDate FunctionsCTEsAURORA
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
Contact Center Agent Performance MetricsHard
Practice
Practice drill

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

ETLAggregationsData ModelingADP
The finish line: interview-readyComplete all 17 questions plus 3 hands-on drills to finish this plan.