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VLink Data Engineer Interview Questions

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

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1
SQL & Data ManipulationStart here. 3 questions + 2 drills · ~45 min
Top Customers by Sales RevenueEasy
Practice

Use GROUP BY and SUM to rank the top 10 customers by total revenue from a single sales table.

RankingGroup ByAggregationsVLink
Simplify Reporting Queries with CTEsEasy

Explain how CTEs make complex PostgreSQL queries easier to read, debug, and maintain in reporting workflows.

SubqueriesJoinsCTEsVLink
Detect and Handle Outliers in SQLEasy

Explain common SQL-friendly ways to detect outliers and how to handle them without distorting downstream analysis.

Data WranglingGroup ByAggregationsVLink
SQL for Employee QueriesMedium
Practice
Practice drill

Use recursive CTEs and anti-join logic to find active VLink employees without a current department.

databasesqlVLink
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
2
Pipelines24 questions · ~203 min
Cloud Platform Experience for PipelinesMedium

Describe practical experience building pipelines on AWS, including orchestration, security, and data quality.

InfrastructureETLData ModelingVLink
Real-Time Dashboard Data PipelineMedium

Design a streaming pipeline that keeps dashboard data fresh and accurate for operational reporting.

InfrastructureStream ProcessingOrchestrationVLink
Data Quality and Schema EvolutionMedium

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

schema evolutionData ModelingQualityVLink
Design Real-Time Operations Dashboard PipelineHard

Design a pipeline for a real-time operational dashboard, covering streaming ingestion, modeling, data quality, and dashboard serving.

InfrastructureStream ProcessingQualityVLink
Model Analytics Warehouse for ELTEasy

Design a Snowflake ELT warehouse model for healthcare analytics with layered schemas, SCD handling, dbt orchestration, and strong data quality controls.

Data ModelingQualityVLink
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The finish line: interview-readyComplete all 27 questions plus 2 hands-on drills to finish this plan.