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Updated weekly · Last refresh Aug 30

Blend360 Data Engineer Interview Questions

The questions to prepare for a Blend360 Data Engineer interview. Questions from real interview reports rank first. Updated weekly.

27questions
~4htotal time
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1
SQL & Data ManipulationStart here. 5 questions + 2 drills · ~63 min
Top Products by Sales RevenueEasy
Practice

Find the top 10 products by total sales revenue using joins, aggregation, and a CTE.

RankingGroup ByAggregationsBlend360
Identify Trends in Multi-Variable DataMedium

Tests analytical thinking for exploring relationships and trends using SQL and/or data tools.

Data WranglingGroup ByAggregationsBlend360
Optimizing SQL QueriesMedium

Tests your ability to improve database performance through query and schema techniques.

queriessqloptimizationBlend360
Top Customers SQL QueryEasy
Practice
Practice drill

Aggregate customer sales volume and return Pyramid Consulting's top 10 customers in descending order.

RankingGroup ByAggregationsPyramid ConsultingBNYCambia Health Solutions
SQL Window Function RankingEasy
Practice
Practice drill

Rank customers by total revenue within each region using a window function.

Window FunctionsRankingGroup ByCapgemini FSSBUBlend360Capgemini Invent
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2
Coding4 questions · ~35 min
Python Dataset Cleaning FunctionEasy

Tests practical Python data cleaning skills and attention to data quality.

Hash TablesArraysStringsBlend360
Python List vs Tuple UsageEasy

Compare Python lists and tuples, including mutability, performance, and when each should be used.

tupleslistsData StructuresBlend360
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3
Pipelines10 questions · ~87 min
Star vs Snowflake SchemaEasy

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

snowflake schemastar schemaData ModelingBlend360
Design Scalable Pipeline InfrastructureHard

Design the core pipeline infrastructure for a new project, with attention to orchestration, data quality, idempotency, and future scale.

InfrastructureToolsQualityBlend360
Data Quality in ETL PipelinesEasy

Approach for maintaining data quality and integrity across ETL pipelines.

IdempotencyData ModelingQualityBlend360
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4
Behavioral & Leadership8 questions · ~69 min
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The finish line: interview-readyComplete all 27 questions plus 2 hands-on drills to finish this plan.