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Updated weekly · Last refresh Aug 30

SLB Data Engineer Interview Questions

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

20questions
~3htotal time
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1
PipelinesStart here. 5 questions · ~40 min
Batch vs Stream Processing Trade-offsMedium

Compare batch and stream processing across latency, complexity, cost, and data quality in a modern analytics pipeline.

InfrastructureStream ProcessingETLSLB
Data Quality in ETL PipelinesEasy

Approach for maintaining data quality and integrity across ETL pipelines.

IdempotencyData ModelingQualitySLB
Backpressure in Ingestion PipelinesHard

Tests your ability to keep streaming systems stable under load and prevent downstream overload.

Stream ProcessingmonitoringSLB
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2
SQL & Data Manipulation5 questions + 3 drills · ~70 min
Relational Schema for Rig SensorsHard

Tests your data modeling and throughput considerations for high-ingest operational telemetry.

star schemaperformanceData ModelingSLB
Row vs Column Database ChoiceMedium

Tests your understanding of storage tradeoffs and how they impact query patterns and performance.

performancebasicsData ModelingSLB
Indexing and Join OptimizationHard

Tests deep SQL performance tuning and indexing strategy for very large datasets.

Performance TuningJoinsperformanceSLB
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
Handle Missing Financial Input ValuesMedium
Practice
Practice drill

Use joins, CTEs, and CASE logic to flag and fill missing financial fields for Qlik planning records.

Data WranglingETLQualityQlik
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3
Coding3 questions · ~24 min
Parse Nested JSON Logs to CSVMedium

Tests practical Python data wrangling skills for transforming semi-structured telemetry into analytics-ready data.

json parsingData WranglingpythonSLB
Merge and Deduplicate by TimestampMedium

Tests your data engineering skills for record matching, deduplication, and edge-case handling at scale.

deduplicationData WranglingpythonSLB
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4
Behavioral & Leadership7 questions · ~56 min
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The finish line: interview-readyComplete all 20 questions plus 3 hands-on drills to finish this plan.