Bain & Company Data Engineer Interview Questions and Answers

Q1. Project explaining
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Q2. Write code to generate csv file with note pad data
Ans. 
Code to generate a CSV file with notepad data
• Open a text file and read the data

• Parse the data and write it to a CSV file

• Use libraries like pandas in Python for easier CSV handling
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Maxium sub string and reverse a string

Q1. Data warehouse concepts
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Round 1 was online Test where one basic coding question was there and few aptitiude , verbal ability and python based question.

Q1. What is Data WareHouse..?
Ans. 
A Data Warehouse is a centralized repository that stores integrated data from multiple sources for analysis and reporting.
• Data Warehouses are designed for query and analysis rather than transaction processing.

• They often contain historical data and are used for decision-making purposes.

• Data Warehouses typically use a dimensional model with facts and dimensions.

• Examples of Data Warehouse tools include Amazon Redshift, Sn
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Q2. Nested Queries in Bigquery..?
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Nested queries in BigQuery allow for querying data from within another query, enabling complex data analysis.
• Nested queries are queries that are embedded within another query

• They can be used to perform subqueries to filter, aggregate, or manipulate data

• Nested queries can be used in SELECT, FROM, WHERE, and HAVING clauses
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Maths, Puzzles, English, SQL

Q1. SQL Question, Find ranks based on scores
Ans. 
Use SQL to find ranks based on scores.
• Use the RANK() function to assign ranks to scores.

• Consider using the ORDER BY clause to sort scores before assigning ranks.

• Handle ties in scores appropriately to avoid skipping ranks.
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Q2. Puzzle about crorssing a bridge and then coin exchange problem
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Q1. Past Exp and Resume
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Take home coding test with 3 SQL and 3 Python questions. Asked to solve only SQL questions but I solved them all.

Q1. 3 in-person interviews with general discussions about resume and past projects
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Q1. Present yourself
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Q2. Asks about level of experience in each tachnology in the CV
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Q1. Basic Python, SQL & Spark coding questions.
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Q2. Nth highest salary, word count in pyspark
Ans. 
To find the nth highest salary in pyspark, use the window function with row_number and filter on the desired rank.
• Use window function with row_number to assign a rank to each salary

• Filter the result to get the row with the desired rank

• Example: df.withColumn('rank', F.row_number().over(Window.orderBy(F.col('salary').desc()))).filter(F.col('rank') == n).select('salary')
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Q1. Questions on SQL & PySpark.
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Q1. Questions about previous projects & optimization techniques etc. Also behavioural
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Q1. Salary negotiation part.
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