- Hackerearth Test: objective questions on hadoop, spark, python and airflow basics and one coding question added above.
- First round of Interview:
- Questions:
- what is the difference between mapreduce and spark?
- What is the difference between Spark
coalesceandrepartition? - How do you handle out of memory error in spark application execution?
- How does pyspark work?
- Can you explain how you solved the programming question you have solved in the test? (refer here)
- Questions:
- Second round of Interview:
- Questions:
- what are the challenges you encountered in your projects and how did you solve them?
- Case Study:
- Let's say there are 3 data sources(RDBMS), First Data source contains (firstname,lastname,email and gender), second one contains (firstname,lastname,order_history) and third contains (email,profile_id). How can you construct a 360 degrees view of a customer that contains all information from 3 data sources containing (firstname,lastname,email,gender,order_history and profile_id) but without traditional way of joining the columns (looking for more of ML based solution)(Hint: the columns may contain special characters, spaces, underscores etc)
- What are list comprehensions and dictionary comprehensions in python.
- Tell me one approach on finding all prime numbers in the given range?
- Can you code up a binary search algorithm in array that is sorted in descending order? (refer here)
- How do you define/create a class in python?
- Questions:
- Final round of interview with Founder/CEO.
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