Impetus Technologies Data Engineer Interview Questions, Process, and Tips

Q1. Spark Internal working
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Q2. SQL joins, optimisation technique
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Spark internal architecture, Spark configuration, SQL questions, Python question on arrays.

Q1. Water trapping Problem in DSA
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Water trapping problem involves calculating the amount of water that can be trapped between bars in an array.
• The problem can be solved using two pointers approach.

• Iterate through the array and keep track of the maximum height on the left and right side of each bar.

• Calculate the amount of water trapped at each bar by subtracting the bar's height from the minimum of the maximum heights on both sides.

• Sum up the trapped wa...read more
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Q1. Domain related questions
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Q1. Python program string operations
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Q1. Questions on window fxns
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Q2. Questions on python intermediate coding
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Q1. Big data interview questions
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Q2. Spark interview questions
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Q1. Spark hive and cloud
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Q1. Highest salary in sql?
Ans. 
The highest salary in SQL depends on the data and industry.
• The highest salary in SQL varies depending on the industry and location.

• Factors such as experience, education, and job role also impact salary.

• For example, a senior data engineer in Silicon Valley may earn a higher salary than a junior data engineer in a smaller city.
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Q2. S3 bucket type and life cycle policy in s3?
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S3 bucket types are Standard, Intelligent-Tiering, Standard-Infrequent Access, One Zone-Infrequent Access, and Glacier. Life cycle policy automates data movement.
• S3 bucket types are designed to optimize storage costs and access patterns.

• Standard is for frequently accessed data, Intelligent-Tiering for variable access patterns, Standard-Infrequent Access for infrequent access, One Zone-Infrequent Access for infrequent a...read more
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