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Ericsson Data Engineer Interview Questions

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

48questions
~7htotal time
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1
PipelinesStart here. 36 questions · ~297 min
Data Quality in ETL PipelinesEasy

Approach for maintaining data quality and integrity across ETL pipelines.

IdempotencyData ModelingQualityEricsson
Warehouse Analytics ExperienceEasy

Discuss practical experience using a data warehouse for analytics, including loading, transformation, orchestration, and data quality.

InfrastructureData ModelingEricsson
Design an End-to-End Data PipelineMedium

Approach for designing an end-to-end data pipeline from ingestion through transformation, storage, and downstream consumption.

data pipelinedesigningestionEricsson
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2
Coding5 questions · ~41 min
Website Coding Technical TestMedium

Tests your expectations and readiness for the coding portion of Ericsson's technical assessment.

Hash TablesArraysSearchingEricsson
Java Website Coding TestMedium

Tests your Java coding skills and ability to translate requirements into working code.

javaEricsson
Student Grades Above AverageMedium

Assesses your SQL skills for aggregation and filtering on student grade data.

Data ManipulationEricsson
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3
Behavioral & Leadership5 questions · ~41 min
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4
More topics2 questions · ~17 min
SQL Above Class AverageEasy
Practice

Use a scalar subquery and aggregation to find Ericsson trainees whose grades exceed the class average.

aggregationData ManipulationsqlEricsson
Complex SQL Joins and AggregationsHard

Assesses your SQL performance thinking for large-scale joins and aggregations.

aggregationsqlEricsson

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Hands-on SQL practiceWrite and run real queries in the editor. 2 drills · ~20 min
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
The finish line: interview-readyComplete all 48 questions plus 2 hands-on drills to finish this plan.