For the first round SQL interview, a few things to focus on (other than syntax and functional code) include: * Performance tuning and reasons for choosing your approach over alternative methods * Simplicity and readability (i.e. try not to overcomplicate your code) For the final round technical interviews, my experience was all scenario based questions which may include (but not limited to): SQL, Python (OOP), System Design (including fault tolerance, redundancy and scalability), Data Modelling, Performance Tuning.
Analytics Engineer Interview Questions
1,255 analytics engineer interview questions shared by candidates
I can't remember exactly but they showed some actual scenarios at work and asked me to write sql queries to get the answers
all about our resume and certifications related to job profile.
Given a engine diagram where would I place sensors to get as much data as I can.
What are the characteristics of choosing a Primary Key? How do you handle a new ticket? What is a Data mart?
How could you re-write this SQL statement to make it more efficient? How would you scale this system to handle a large number of users and TBs of data?
How did I manage the timelines and deadlines of the projects?
What challenges did I face in my past work experiences and how did I handle them?
All the interviewers asked questions related to my past projects, experiences with teammates, work styles, and challenges that I had faced in my work environment.
Given a real-life hypothetical situation, how would I approach the problem and resolve the concern to the best of my abilities? What thought process would I invoke to cater to the problem?
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