SQL : 1. create Pivot tables, 2. find the sequence gap and aggregate the result python: 1. Tricky python questions like function and their output 2. Normal and basic level of coding Pyspark: 1. Please check this topics of pyspark Windows functions , date_diff, case when , watermark and aggregation
How is Kafka different from MQ
What is data management? and follow-ups from the answer.
Which technologies do you work with?
asked about time complexity and space complexity
Coding questions were not algorithmic puzzles, but real life usage of calling web apis and processing data.
SQL Leet code Medium questions
Design an ETL pipeline that loads data every hour from X system to Y System with consistency and reliability describing edge cases.
interview 1 : 30 min screen call with engineering lead interview 2: 60 coderpad coding round. I was asked to optimized text search. Interview 3: 60 min debugging interview in python. they will give some code with bugs and then they will ask you to fix code to pass test cases Interview 4: 45 min data quality. i was given some football match dataset to draw insights to figure out who will buy the tickeys Interview 5: 45 min ML infra. they will ask you how would you push something developed by data science to production Interview 6: 2hr behavioral interview. they will start with your undergrad and will ask each and every thing about your schools, universities etc etc
Primarily on the data warehousing and cloud part
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