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Athina Ai Software Engineer Interview Questions

The questions to prepare for a Athina Ai Software Engineer interview. Questions from real interview reports rank first. Updated weekly.

46questions
~6htotal time
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1
PipelinesStart here. 19 questions · ~152 min
Manage Pipeline Infrastructure as CodeEasy

Approach for managing data pipeline infrastructure as code, including orchestration, drift control, and operational monitoring.

InfrastructureToolsQualityAthina Ai
Real-Time Dashboard Pipeline DesignHard

Approach for building near-real-time dashboard pipelines with streaming, orchestration, and data quality controls.

Stream ProcessingSchedulingDependenciesAthina Ai
Data Quality in ETL PipelinesEasy

Approach for maintaining data quality and integrity across ETL pipelines.

IdempotencyData ModelingQualityAthina Ai
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2
Execution24 questions · ~192 min
Mentoring a Junior ArchitectEasy

Describe how you mentored a junior team member while maintaining delivery commitments and stakeholder confidence.

Success CriteriaRisk AssessmentScope ManagementAthina Ai
Solve a Challenging Technical ProblemEasy

Describe a difficult technical problem you solved, focusing on execution, stakeholder alignment, risks, and trade-offs.

Trade-offsRisk AssessmentAthina Ai
Explain Technical Trade-offs ClearlyEasy

Explain technical trade-offs to non-technical stakeholders in a way that drives alignment and decision-making.

Trade-offsSuccess CriteriaRisk AssessmentAthina Ai
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3
More topics3 questions · ~24 min
SQL vs NoSQL Trade-offsEasy

Explain SQL vs NoSQL trade-offs, including schema design, consistency, scaling, and query flexibility.

JoinsData WranglingAggregationsAthina Ai
Optimizing Slow PostgreSQL Research QueriesMedium

Explain how you diagnosed and optimized a slow PostgreSQL query using execution plans, indexing, and query rewrites.

JoinsData WranglingAggregationsAthina Ai
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Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 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
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
The finish line: interview-readyComplete all 46 questions plus 3 hands-on drills to finish this plan.