Tiger Analytics Data Engineer interview experience

Got offer

Medium

Positive

Seattle, WAPosted May 2024 · Candidate report, summarized by Dataford

After a recruiter screen, I moved into a technical interview that focused heavily on Spark, with questions framed like small case studies.

I remember being pushed on Spark concepts first, then getting into how I’d think through SQL and data processing using Spark. The questions weren’t just definition-based—there was an emphasis on optimization and how I’d approach real pipeline-style problems.

A day-to-day theme continued in the next technical round: data modeling and the way SQL concepts connect to how you design data for processing. I was asked to explain SQL concepts clearly, cover Spark architecture and optimization ideas, and talk through PySpark and Python understanding related to building pipelines and frameworks. I

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