Q: Describe your entire career path? Q: How Apache Spark works and deep technicalities in each phase of data engineering and machine learning Q: Basic methodologies question on ways of working Q: Technical Test and Architecture Round much of their you have to produce some artifacts for them to validate and make sure if you're capable of working in Apache Spark environment
Why you choice databricks to be your next company
Describe the differences between a transactional database and a data lake.
Guide us through an implementation plan for a new customer onboarding with Productboard.
Basic Technical questions and behavioral based questions
Experience , reasons to not select you
How do you manage tasks and allocate task to team members
To program to solve a Graph problem in Hackerrank
How do you handle objections?
I cannot remember the questions as it’s been a while.
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