
Advance to senior Databricks Data Engineer: interview like seniors, execute like seniors, think like seniors
| Platform | Pricing | Freemium | Publishes | Daily | |
|---|---|---|---|---|---|
| Issues | 101 | Founded | 9 months ago | Last Issue | 6 days ago |
| Active | |||||

Two engineers get the same take-home: model a retail analytics layer from a stream of order events. The first normalizes everything to third normal form, proud of a clean schema with zero redundancy. The second asks one question before writ...
Two Databricks engineers sit at adjacent desks. Same title, same pay, same words in the ladder document. Watch a year go by, and they are not doing the same job.
Both get rated strong. Both get told they're ready for more scope. Nobody say...
Every Databricks team eventually has the DLT versus Workflows argument. Someone wants to rebuild the whole platform on Delta Live Tables because it is the modern, declarative way. Someone else wants to keep everything in Workflows because t...
It is lazy, shared, and can be evicted mid-query
Every engineer reaches for cache() when a job runs slow. Most of them make it slower, or change nothing at all, and never find out which.
Five years ago, cluster spend was the platform team’s problem. Now it’s yours.
Somewhere between the first FinOps mandate and the last all-hands about the cloud bill, cost ownership became part of the senior Databricks bar. Interviewers no...
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The writers behind this newsletter.
Helping 18k+ Databricks data engineers become seniors: interview like seniors, execute like seniors, think like seniors
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