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
Data engineering related questions. Spark. AWS and Azure
Spark Cluster Architecture, Everything on spark from simple data transformation to ML
What are your weaknesses?
What does customer mean service to you? Tell me one time you went above and beyond for a customer? Tell me how you handled an irate customer in the past? why should we hire you?
Technical discussions regarding the take home assignment provided to you
Spark deep dive, past project experiences
I was asked about my current position and what led me to seeking new employment, speaking on my experiences, and how those experiences would prove to be helpful in the new role.
1. Spark Architecture 2. Scenario based question on DWH 3. Scripting / Coding
1 coding question on model evaluation metric and another leetcode medium question.
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