Summary of Data Engineering interviews I had in 2022

Round 1: Problem solving (Mostly Python oriented questions, Medium level coding questions) + SQL (Easy, Medium)

Round 2: BigData Fundamentals (Resume based skill sets, technical depth of frameworks, practical questions for error & failure resolutions) + SQL (Easy, Medium, Hard)

Round 3: Data Warehousing + Data Modeling (Real world business use cases, cross questions against design, SQL queries would be expected to derive meaningful business metrics)

Round 4: Data Pipeline Design or Design Round (Resume based project related discussion, design of real world practical ETL solutions, mostly design questions will be related to Streaming Pipelines, Cloud based solution can also be asked)

Round 5: Bar Raiser and Behavioural (Hypothetical questions to test leadership qualities and team fitment, sometime few technical questions can also be asked, justification for previous company switches, experiences with previous employers-managers-team mates-project

learnings-corporate lessons)

Round 6: Hiring Manager (Chance for both HM & Candidate to know more about each other and correct intentions)

This will be helpful in 2023 as well

#dataengineering #datanalytics #bigdata

#interviewexperience