Gym Benefit Engineering is FAANG.
Product is okay.
Spark, Cloud tech is great.
0 - Work-life balance: 100% micromanagement at every level. Hiring bar is super low in Sales/CS and PS. Extremely poor technical account management (in Sales/CS). No sense of team within multiple divisions of field engineering. Politics amongst one another. You are on your own.
Step up and review the cultural principles, and move out of the bubble that all the talent hired is great. Flatten the structure.
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