Customer focused. Great product innovations. Time to value is always getting shorter. Leaders communicate visions that are then executed.
Very fast-paced product innovation creates a need for customer-facing teams to keep on top of all new features, more than can be addressed in the recurring technical summits.
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