phData Data Engineer Interview Questions and Answers

Q1. How to decide upon Spark cluster sizing?
Ans. 
Spark cluster sizing depends on workload, data size, memory requirements, and processing speed.
• Consider the size of the data being processed

• Take into account the memory requirements of the Spark jobs

• Factor in the processing speed needed for the workload

• Scale the cluster based on the number of nodes and cores required

• Monitor performance and adjust cluster size as needed
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Q2. Question on Spark internals
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Implement a pipeline based on given conditions and data requirement

Q1. There were no questions as such. They want me join on very next day when the HR discussion was over and started itimidating me with aggressive approach even without discussing the salary part and the benef...read more
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Q1. Tell me about yourself, second highest salary , question related to coleasce function
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Q1. NLP based question
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Q1. Components of Databricks
Ans. 
Databricks is a unified data analytics platform that includes components like Databricks Workspace, Databricks Runtime, and Databricks Delta.
• Databricks Workspace: Collaborative environment for data science and engineering teams.

• Databricks Runtime: Optimized Apache Spark cluster for data processing.

• Databricks Delta: Unified data management system for data lakes.
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Q2. How to read a json file
Ans. 
To read a JSON file, use a programming language's built-in functions or libraries to parse the file and extract the data.
• Use a programming language like Python, Java, or JavaScript to read the JSON file.

• Import libraries like json in Python or json-simple in Java to parse the JSON data.

• Use functions like json.load() in Python to load the JSON file and convert it into a dictionary or object.

• Access the data in the JSON fi...read more
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Q3. Second highest salary SQL
Ans. 
To find the second highest salary in SQL, use the MAX function with a subquery or the LIMIT clause.
• Use the MAX function with a subquery to find the highest salary first, then use a WHERE clause to exclude it and find the second highest salary.

• Alternatively, use the LIMIT clause to select the second highest salary directly.

• Make sure to handle cases where there may be ties for the highest salary.
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Q4. How to configure the spark while creating the cluster
Ans. 
Spark cluster configuration involves setting up memory, cores, and other parameters for optimal performance.
• Specify the number of executors and executor memory

• Set the number of cores per executor

• Adjust the driver memory based on the application requirements

• Configure shuffle partitions for efficient data processing

• Enable dynamic allocation for better resource utilization
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Medium level of coding questions were asked. Didn't need a lot of optimization to pass the test cases so it wasn't very hard.

Q1. Medium level coding questions were asked. Questions on programming concepts like OOPS, scope of variables were asked. Multiple questions were asked on probability. I was asked questions based on conditiona...read more
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2 Interview rounds for technical
1st Interview
Duration - 1 hr
Topics - Python DSA question,

Q1. SQL Joins, query , performance
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Q2. Python scripting , pandas, pyspark
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Q1. Spark Concepts, Performance Tuning
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Q1. Discussion about CTC
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