The Databricks Data Engineer
Jakub LasakHelping 18k+ Databricks data engineers become seniors: interview like seniors, execute like seniors, think like seniors.
| Publishes | Weekly | Episodes | 14 | Founded | 3 months ago |
|---|---|---|---|---|---|
| Number of Listeners | Category | Technology | |||
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Latest Episodes
Two engineers run the same SQL on the same Delta table. Same data, same cluster size, copy-pasted code. Alex goes to make a coffee and comes back to a query still running. Sam's is done before they finish reading the first Slack message. The only dif... more
Picture the debrief room after a Databricks loop. Two candidates went through that day. On paper, a coin flip: SQL tied, Spark internals solid, system design clean for both. Score only the rounds with a rubric and you cannot separate them. And yet th... more
Your Spark job has been running for forty minutes. The dashboard shows your cluster isn't even busy. So you do the obvious thing: add more workers. And it changes nothing.
Here's why. During a shuffle, Spark is barely computing at all. It's tagging ... more
An architecture review. A platform team is presenting their data quality setup, and honestly, it's impressive. Expectations on every ingestion table. Drift metrics on the dashboard. A dedicated alerts channel. Then a finance engineer asks the only qu... more
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Apple Podcasts | #75 |  Spain/Technology |
Apple Podcasts | #127 |  India/Technology |
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| Listeners per Episode | Gender Skew | Location | |||
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Frequently Asked Questions About The Databricks Data Engineer
What is The Databricks Data Engineer about and what kind of topics does it cover?
The series targets data engineers working with Databricks, offering actionable frameworks and career guidance grounded in real-world engineering challenges. Episodes center on practical topics like optimizing Spark workloads, choosing between clustering and partitioning strategies for Delta tables, and managing governance with Unity Catalog, all while emphasizing career growth—how to build enduring, demonstrable impact and position oneself for promotions. A notable through-line is turning technical work into leverageable assets, whether through structured decision frameworks, audits, or documented narratives that showcase impact. Listeners can expect blunt, actionable prompts and concrete examples designed to help engineers navigate platfor... more
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1. DataFramed
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How many episodes of The Databricks Data Engineer are there?
The Databricks Data Engineer launched 3 months ago and published 14 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
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