The Databricks Data Engineer
Jakub LasakAdvance to senior Databricks Data Engineer: interview like seniors, execute like seniors, think like seniors
| Platform |  | Pricing | Freemium | Publishes | Twice weekly |
|---|---|---|---|---|---|
| Issues | 64 | Founded | 7 months ago | Last Issue | 6 days ago |
| Active | |||||
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dataengineerwiki.substack.comLatest Issues
Your Slowest Spark Job Is Your Cheapest Lesson
Every Databricks engineer has a reflex when a Spark job runs slow: scale the cluster. Add nodes, bump the worker size, turn autoscaling up, move on. It feels like progress because the job usually does finish faster.
It is also the most exp...
7 Databricks Scenarios That Reveal If You're Actually Senior
The reflex that costs you the title under pressure
A recruiter screening for a senior Databricks role doesn’t read your resume line by line. They scan for one thing: do you own decisions, or do you execute tickets someone else scoped?
Why a Bigger Cluster Won't Fix Your Spark OOM
The most expensive mistake in a Databricks OOM is the one that feels the most responsible.
The job dies on “java heap space.” You open the cluster config, double the node size, rerun, and pray. Sometimes it works and you never learn why. U...
Three Medallion Layers Is Cargo Cult on a Small Team
Every Databricks team treats Medallion as the default architecture. The teams shipping fastest treat it as one option among several, and they earn each extra layer instead of inheriting it.
That distinction is the difference between a plat...
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Helping 18k+ Databricks data engineers become seniors: interview like seniors, execute like seniors, think like seniors
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