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Prep plan
Updated weekly · Last refresh Oct 17

Sberbank Data Engineer Interview Questions

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

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1
SQL & Data ManipulationStart here. 4 questions + 2 drills · ~55 min
2
Pipelines12 questions · ~106 min
Basic Spark Scala Pipeline QuestionsEasy

Basic Spark Scala interview topics for ETL pipelines, covering core transformations, execution model, and data quality checks.

InfrastructureBatch ProcessingData ModelingSberbank
Structured vs Unstructured DataEasy

Explain how structured and unstructured data differ, and why that matters for pipeline design and downstream processing.

ETLData ModelingQualitySberbank
Fault Tolerance in Data PipelinesHard

Approach for building fault tolerance into a distributed data pipeline, including retries, idempotency, and recovery controls.

InfrastructureIdempotencyQualitySberbank
Debugging Production Data PipelinesMedium

A structured approach to debugging production data pipelines, with focus on orchestration, data quality, idempotency, and safe backfills.

InfrastructureToolsQualitySberbank
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3
More topics1 question · ~9 min
Implement MapReduce JobHard

Tests understanding of distributed processing patterns and implementation details for batch analytics.

RecursionHash TablesArraysSberbank
The finish line: interview-readyComplete all 17 questions plus 2 hands-on drills to finish this plan.