Top 29
Prep plan
Updated weekly · Last refresh Aug 30

Perficient Data Engineer Interview Questions

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

29questions
~4htotal time
Track your progressSign up free to work through all 29 questions and resume where you left off.
Start practicing free →
1
CodingStart here. 3 questions · ~26 min
Parsing Nested JSON in PythonMedium
Practice

Flatten nested JSON objects into dot and index paths using recursive depth-first traversal.

json parsingpythonPerficient
Optimizing Slow PySparkMedium

Evaluates performance tuning skills for large-scale PySpark workloads.

pysparkperformanceoptimizationPerficient
More Coding questions with a free account
2
Pipelines13 questions · ~112 min
Data Quality and Schema EvolutionMedium

Approach for handling schema changes and data quality checks in a high-volume data lake pipeline.

schema evolutionData ModelingQualityPerficient
Data Quality in ETL PipelinesEasy

Approach for maintaining data quality and integrity across ETL pipelines.

IdempotencyData ModelingQualityPerficient
Testing and CI for PipelinesEasy

Explain how you apply automated testing and CI practices to data pipelines and pipeline releases.

InfrastructureToolsQualityPerficient
More Pipelines questions with a free account

Sign up to see every question

Create a free account to unlock this list and practice real interview questions.

Get my prep plan
3
SQL & Data Manipulation7 questions + 3 drills · ~90 min
Explain Full Outer vs Left JoinMedium

Explain how FULL OUTER JOIN and LEFT JOIN differ when reconciling customer records across systems.

JoinsData WranglingCase WhenPerficient
SQL Query OptimizationMedium

Tests your approach to diagnosing and improving SQL performance.

Performance TuningsqlPerficient
Data Quality Challenges in SQLMedium

Assesses awareness of data quality failure modes and mitigation approaches in SQL systems.

Data QualitychallengessqlPerficient
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
Top Earners via Table JoinMedium
Practice
Practice drill

Rank Motorola Solutions employees by total earnings using a LEFT JOIN, aggregation, COALESCE, and ROW_NUMBER.

JoinssqlMotorola SolutionsMotorola
More SQL & Data Manipulation questions with a free account
4
Behavioral & Leadership6 questions · ~52 min
More Behavioral & Leadership questions with a free account
The finish line: interview-readyComplete all 29 questions plus 3 hands-on drills to finish this plan.