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Updated weekly · Last refresh Aug 30

PRA Group Data Engineer Interview Questions

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

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1
Behavioral & LeadershipStart here. 8 questions · ~75 min
Optimizing Memory for Large CSVsMedium

Tests performance engineering and memory-efficient processing strategies for PRA Group-scale data files.

memory leakperformancepythonPRA Group
Learning from a Favorite BookEasy

Tests reflection and how you apply learned principles to your day-to-day work as a data engineer.

self assessmentCommunicationmotivationPRA Group
Negotiating Technical DecisionsMedium

Tests stakeholder communication and tradeoff management when PRA Group teams need alignment on data delivery.

negotiationStakeholder ManagementtimelinePRA Group
Strengths for PRA Group EngineeringEasy

Tests role fit and how you translate strengths into outcomes for PRA Group’s data engineering work.

strengthsteamworkgoal settingPRA Group
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2
More topics4 questions · ~38 min
Maximum Sum Contiguous SubarrayEasy
Practice

Use Kadane's algorithm to find the contiguous subarray with the largest sum in linear time.

Dynamic ProgrammingArraysGreedyPRA Group
Star vs Snowflake for ReportingMedium

Tests your dimensional modeling choices for PRA Group-style reporting and analytics on debt and collections data.

snowflake schemastar schemafinancial dataPRA Group
Parsing and Normalizing DatesMedium

Tests your ability to build robust data cleaning logic for messy financial inputs at PRA Group.

parsingDate FunctionsStringsPRA Group
Schema for Ownership HistoryHard

Tests your ability to model temporal history for ownership changes in PRA Group’s debt portfolio data.

star schemadata integritydimensionsPRA Group

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Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
Top Customers by Last-Quarter SpendMedium
Practice
Practice drill

Join customers and transactions, filter to the previous quarter, aggregate spend, and return the top three customers by total spend.

Date FunctionsJoinsAggregationsApptioQuantiphiDiscover
Supplier Cost Variance Trend AnalysisHard
Practice
Practice drill

Use joins, a CTE, and date functions to find monthly supplier cost variance and on-time delivery trends.

financial dataData WranglingperformanceBae Systems Usa
7-Day Rolling Active UsersMedium
Practice
Practice drill

Compute daily active users and a 7-day rolling average using a CTE, distinct counts, and window functions.

Window FunctionsDate FunctionsRunning TotalsMetaSpotifyMeta IT
The finish line: interview-readyComplete all 12 questions plus 3 hands-on drills to finish this plan.