Ascentt Data Engineer Interview Questions
The questions to prepare for a Ascentt Data Engineer interview. Questions from real interview reports rank first. Updated daily.
Design a hybrid AWS data platform and explain when to use Spark on EMR for batch ETL versus Kinesis and Firehose for low-latency streaming ingestion.
AscenttDesign Terraform-based infrastructure as code for AWS data pipelines with reusable modules, secure state management, CI/CD, and drift control.
AscenttOptimize a Spark join where skewed keys create long-running tasks during a transaction to merchant metadata enrichment step.
AscenttExplain how to structure a SQL query with JOINs and GROUP BY to answer business questions with aggregated results.
AscenttTests SQL windowing and aggregation skills for product analytics use cases.
AscenttTests deep SQL performance tuning and query plan reasoning.
AscenttCompute daily active users and a 7-day rolling average using a CTE, distinct counts, and window functions.
Meta
Spotify
Meta ITAggregate monthly sales by product category and use LAG to calculate month-over-month changes.
Total Wine & More
Inc.
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Tests Python data processing and transformation skills for nested JSON inputs.
AscenttTests software engineering practices for production-quality data codebases.
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