Teamwork makes the dream work is very apt for Databricks. Each of the founders has their own strengths, and all these strengths together make a dream work. The CEO, Ali, is good at channeling and maximizing their strengths. They ensure that each of the future teams they build has the same strengths, values, and principles. CEO Ali's direction is precise and concise. The Databricks platform is great, and the company's Lakehouse vision is making many organizations data-driven companies.
The only con I can think of is that there is no company contribution to a 401K.
Nothing in specific
Clear structure as far as stages are concerned. Although I have not had strict Databricks/Spark experience, I was approached by the Databricks recruiter. I was given the opportunity to go ahead with the interview and passed the technical stages. I wa
Rejected in the last round as they found a cheaper candidate. No concrete feedback has been shared yet. There were many rounds to prepare a candidate, but then there is no proper feedback which helps you get an offer.
The process consisted of six rounds over nearly two months, including: * A take-home technical coding assignment * Technical deep dive (Spark, cloud, architecture) * Project delivery discussion * Architecture & SME panel * Executive round
Clear structure as far as stages are concerned. Although I have not had strict Databricks/Spark experience, I was approached by the Databricks recruiter. I was given the opportunity to go ahead with the interview and passed the technical stages. I wa
Rejected in the last round as they found a cheaper candidate. No concrete feedback has been shared yet. There were many rounds to prepare a candidate, but then there is no proper feedback which helps you get an offer.
The process consisted of six rounds over nearly two months, including: * A take-home technical coding assignment * Technical deep dive (Spark, cloud, architecture) * Project delivery discussion * Architecture & SME panel * Executive round