The Databricks Data Engineer
Jakub LasakHelping 18k+ Databricks data engineers become seniors: interview like seniors, execute like seniors, think like seniors.
| Publishes | Weekly | Episodes | 18 | Founded | 4 months ago |
|---|---|---|---|---|---|
| Number of Listeners | Category | Technology | |||
Listen to this Podcast
Latest Episodes
You inherited Unity Catalog already switched on. You learned the catalogs, the schemas, the grant statements, and never once saw the problem all of it was built to solve. Then someone in a review asks why the company suffered through that migration, ... more
Your pipeline hasn't failed in months, and nobody noticed. Then it breaks at 2am, you fix it in twenty minutes, and Slack fills with fire emojis and thank-yous. You're the backbone of the team. You've also been at the same level for three years, and ... more
A nightly job is halfway through writing a batch when the cluster dies. Nobody runs a rollback, because there's nothing to roll back to. The next morning a dashboard is quietly serving half-written garbage, and no one can tell the good files from the... more
A revenue-attribution pipeline runs overnight, bronze to silver to gold, and lands a clean set of numbers the whole company uses to decide where the money goes. Every morning: green. Every morning, everyone moves on with their day. For a year, nobody... more
Key Facts
Similar Podcasts
People also subscribe to these shows.
Chart Rankings
How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.
Apple Podcasts | #247 |  France/Technology |
Apple Podcasts | #51 |  India/Technology |
Apple Podcasts | #175 |  South Africa/Technology |
Apple Podcasts | #229 |  Japan/Technology |
Apple Podcasts | #244 |  Indonesia/Technology |
Audience Metrics
Listeners, social reach, demographics and more for this podcast.
| Listeners per Episode | Gender Skew | Location | |||
|---|---|---|---|---|---|
| Interests | Professions | Age Range | |||
| Household Income | Social Media Reach | ||||
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
Where can I find podcast stats for The Databricks Data Engineer?
Rephonic provides a wide range of podcast stats for The Databricks Data Engineer. We scanned the web and collated all of the information that we could find in our comprehensive podcast database. See how many people listen to The Databricks Data Engineer and access YouTube viewership numbers, download stats, audience demographics, chart rankings, ratings, reviews and more.
How many listeners does The Databricks Data Engineer get?
Rephonic provides a full set of podcast information for three million podcasts, including the number of listeners. View further listenership figures for The Databricks Data Engineer, including podcast download numbers and subscriber numbers, so you can make better decisions about which podcasts to sponsor or be a guest on. You will need to upgrade your account to access this premium data.
What are the audience demographics for The Databricks Data Engineer?
Rephonic provides comprehensive predictive audience data for The Databricks Data Engineer, including gender skew, age, country, political leaning, income, professions, education level, and interests. You can access these listener demographics by upgrading your account.
How many subscribers and views does The Databricks Data Engineer have?
To see how many followers or subscribers The Databricks Data Engineer has on Spotify and other platforms such as Castbox and Podcast Addict, simply upgrade your account. You'll also find viewership figures for their YouTube channel if they have one.
Which podcasts are similar to The Databricks Data Engineer?
These podcasts share a similar audience with The Databricks Data Engineer:
1. Business Breakdowns
2. Football Daily
3. All-In with Chamath, Jason, Sacks & Friedberg
4. How I AI
5. That's Girl Code
How many episodes of The Databricks Data Engineer are there?
The Databricks Data Engineer launched 4 months ago and published 18 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
How do I contact The Databricks Data Engineer?
Our systems regularly scour the web to find email addresses and social media links for this podcast. We scanned the web and collated all of the contact information that we could find in our podcast database. But in the unlikely event that you can't find what you're looking for, our concierge service lets you request our research team to source better contacts for you.
Where can I see ratings and reviews for The Databricks Data Engineer?
Rephonic pulls ratings and reviews for The Databricks Data Engineer from multiple sources, including Spotify, Apple Podcasts, Castbox, and Podcast Addict.
View all the reviews in one place instead of visiting each platform individually and use this information to decide if a show is worth pitching or not.
How do I access podcast episode transcripts for The Databricks Data Engineer?
Rephonic provides full transcripts for episodes of The Databricks Data Engineer. Search within each transcript for your keywords, whether they be topics, brands or people, and figure out if it's worth pitching as a guest or sponsor. You can even set-up alerts to get notified when your keywords are mentioned.