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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
avatar

Resident Solutions Architect

Interviewed at Databricks

4★
Apr 4, 2022

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

Standard screening questions about current role, career experience, Databricks as a product/company, why move roles? etc. While NDA was signed for technical assessment (cannot share specifics), it involved solving a series of questions using a Databricks cluster and notebook. You should have no problems answering as long as you can read API documentation and reference answers you have obtained via Google/StackOverflow. The technical interview rounds involved describing a solution architecture you've implemented, what business challenge it solves, room for improvement, as well as more general Spark/ETL/Data Engineering questions etc. The sales presentation round extended the technical interview by simulating the proposed solution to a customer, objection handling, and business acumen. e.g. why have you proposed this solution and how does it help our business needs?, "we already have X, why use this?" etc.
avatar

Solutions Architect

Interviewed at Databricks

4★
Jan 3, 2023

Standard screening questions about current role, career experience, Databricks as a product/company, why move roles? etc. While NDA was signed for technical assessment (cannot share specifics), it involved solving a series of questions using a Databricks cluster and notebook. You should have no problems answering as long as you can read API documentation and reference answers you have obtained via Google/StackOverflow. The technical interview rounds involved describing a solution architecture you've implemented, what business challenge it solves, room for improvement, as well as more general Spark/ETL/Data Engineering questions etc. The sales presentation round extended the technical interview by simulating the proposed solution to a customer, objection handling, and business acumen. e.g. why have you proposed this solution and how does it help our business needs?, "we already have X, why use this?" etc.

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