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Updated weekly · Last refresh Aug 30

Freshworks Data Engineer Interview Questions

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

21questions
~3htotal time
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1
PipelinesStart here. 11 questions · ~88 min
Star vs Snowflake SchemaEasy

Compare star and snowflake schemas in a warehouse pipeline, including structure and transformation trade-offs.

snowflake schemastar schemaData ModelingFreshworks
MapReduce Log Processing DesignHard

Tests ability to design scalable batch processing pipelines without Spark.

Batch ProcessingFreshworks
Multi-Tenant Data Model DesignHard

Tests data modeling for multi-tenancy and schema flexibility in customer support systems.

schema designData ModelingFreshworks
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2
Coding3 questions · ~24 min
Flatten Nested JSON for IngestionHard

Tests practical Python parsing, streaming mindset, and memory optimization for ingestion pipelines.

json parsingpythonFreshworks
Remove Duplicate DigitsMedium

Tests algorithmic thinking and in-place numeric manipulation without string conversions.

deduplicationMathbasicsFreshworks
Median of a BSTMedium

Tests tree traversal strategy and space-efficient median computation.

RecursiontraversalTreesFreshworks

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3
Behavioral & Leadership6 questions · ~48 min
Resolving Technical Conflict Between EngineersMedium

Tests conflict resolution in technical leadership: mediating disagreement, driving a decision, and preserving team trust and execution.

Conflict ResolutionCommunicationLeadershipFreshworks
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4
More topics1 question · ~8 min
SQL Query Bottleneck OptimizationHard

Tests systematic SQL performance troubleshooting and optimization skills for complex queries.

JoinsperformanceAggregationsFreshworks
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
Analyze Customer Purchase Trends with Window FunctionsEasy
Practice
Recently asked
Practice drill

Calculate the monthly spending trends for customers using window functions and joins.

The Home DepotAvisoWorld Wide Technology
Analyzing Operations Bottlenecks with SQLHard
Practice
Practice drill

Use multi-level CTEs, joins, and LAG to identify Samsung regional inventory shortages and late deliveries.

JoinsperformanceAggregationsSamsung ElectronicsApeel Sciences
The finish line: interview-readyComplete all 21 questions plus 3 hands-on drills to finish this plan.