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
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
👍4
Sir, are metrics and KPIs the same thing?"
A genuine question from yesterday's class, and a surprisingly common confusion.
So here's a simple explanation
→Metrics are like the numbers on your fitness tracker: steps, heart rate, calories burned.
→KPIs (Key Performance Indicators) are like your actual fitness goals: lose 5kg in 2 months, run 5k in under 30 minutes.
In short:
All KPIs are metrics,
X But not all metrics are KPIs.
KPIs are the metrics that matter most, the ones directly tied to your business goals.
Example from marketing analytics:
Metrics: Impressions, Clicks, Reach, Bounce Rate
KPI: Increase conversion rate by 10% this quarter
Your KPI is the goal.
Your metrics are the signals helping you reach it.
Hope this clears it up for more than just the classroom today! Let me know how you explain this to your team or students.
#data #datanalytics
#kpi
#learning
A genuine question from yesterday's class, and a surprisingly common confusion.
So here's a simple explanation
→Metrics are like the numbers on your fitness tracker: steps, heart rate, calories burned.
→KPIs (Key Performance Indicators) are like your actual fitness goals: lose 5kg in 2 months, run 5k in under 30 minutes.
In short:
All KPIs are metrics,
X But not all metrics are KPIs.
KPIs are the metrics that matter most, the ones directly tied to your business goals.
Example from marketing analytics:
Metrics: Impressions, Clicks, Reach, Bounce Rate
KPI: Increase conversion rate by 10% this quarter
Your KPI is the goal.
Your metrics are the signals helping you reach it.
Hope this clears it up for more than just the classroom today! Let me know how you explain this to your team or students.
#data #datanalytics
#kpi
#learning
👍5