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Updated weekly · Last refresh Aug 30

Kharon Data Engineer Interview Questions

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

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1
PipelinesStart here. 5 questions · ~45 min
Airflow Pipeline to AWS S3Medium

Tests pipeline orchestration design for multi-API ingestion into AWS S3 in Kharon projects.

APIsOrchestrationairflowKharon
Schema Evolution for API ChangesMedium

Tests schema evolution strategy and resilience to breaking changes in external data feeds.

data integrationAPIsschema evolutionKharon
Ingest to Elasticsearch for Low LatencyMedium

Tests pipeline design and indexing considerations for low-latency search use cases.

ingestionsearchKharon
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2
SQL & Data Manipulation4 questions + 3 drills · ~66 min
Optimize Massive Distributed JoinsHard

Tests distributed query optimization skills for large-scale join-heavy workloads.

Performance TuningJoinsdistributed systemsKharon
Snowflake Clustering vs Spark PartitioningMedium

Tests understanding of physical data layout and its impact on query performance.

snowflake schemaperformancepartitioningKharon
Star Schema for Trade RiskHard

Tests dimensional modeling for analytics over trade and risk data relevant to Kharon clients.

fact tablesstar schemadimensionsKharon
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
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
Pivot Lucid Campaign Performance by MonthMedium
Practice
Practice drill

Use joins, a CTE, CASE expressions, and monthly pivoting to compare Lucid campaign performance across channels.

pivot tablesnull handlingData WranglingLucid Motors
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3
Behavioral & Leadership5 questions · ~45 min
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4
More topics2 questions · ~18 min
Flatten Nested JSON PathsMedium
Practice

Flatten a deeply nested JSON-like object into path-value pairs using recursion and deterministic key construction.

Kharon
Fuzzy Dedup With PySparkHard

Tests PySpark implementation and fuzzy matching logic for entity resolution.

deduplicationData StructuressparkKharon

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