Data Economy Engineer Trainee Interview Questions and Answers

Basic questions python spark, sql

Q1. Salary discussion
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Q1. Ranking code in sql
Ans. 
Ranking code in SQL
• Use the RANK() function to assign a rank to each row based on a specified column

• Use the ORDER BY clause to determine the order of ranking

• Handle ties in ranking using the DENSE_RANK() function

• Use the ROW_NUMBER() function to assign a unique number to each row
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Q2. Read a file using python
Ans. 
To read a file using Python, use the open() function and specify the file path and mode.
• Use the open() function to open the file

• Specify the file path and mode (e.g., 'r' for reading)

• Read the contents of the file using the read() method

• Close the file using the close() method
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Q3. Reverse a array string using python
Ans. 
Reverses an array of strings using Python.
• Use the reverse() method to reverse the array in-place.

• Alternatively, use slicing with a step of -1 to create a new reversed array.

• Remember to convert the array to a list before reversing if necessary.
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3 SQL and 2 Python questions were asked, SQL was moderate, Python was tough

This was my first campus drive,& it was one of the hardest one too.We had 3 coding problems for 60 mins.It was held on HackerRank & it was not so hard but not so easy for the beginners.
1)Lambda Sort
2) and 3) ques on SQL
It was different ques for each one.

Q1. The interviewer asked all the concepts of pyspark, ETL and a code on dsa
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Q1. Spark based questions and coding questions
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Q1. It was a basic screening round as it was a virtual walk-in drive so was asked basic details about my work experience
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Q1. What do you worked on AWS
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Q2. SQL aggregate and window question
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Q3. Coding In python
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Q1. AWS S3 Questions
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Q2. AWS lambda Questions
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Q3. AWS Redshift Questions
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Q1. Why left previous company
Ans. 
Seeking new challenges and growth opportunities
• Desire for new challenges and growth

• Looking for a more innovative environment

• Seeking better work-life balance
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Q2. Salary Discussion
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