Nielsen Senior Data Engineer Interview Questions and Answers for Experienced

Java Multiple choice questions and 2 coding questions

Q1. Collection in java works
Ans. 
Collection in Java is a framework that provides interfaces and classes to store and manipulate groups of objects.
• Collections can be used to store objects of any type.

• Some common collection types include ArrayList, LinkedList, HashSet, and TreeMap.

• Collections can be sorted, searched, and filtered using various methods.

• Iterators can be used to traverse through collections and perform operations on each element.

• Collection...read more
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Q2. Multithreading environment
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Q3. 2 coding questions and reduce its complexity
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Q1. Spring and cloud platform difference
Ans. 
Spring is a framework for building Java applications, while cloud platform provides infrastructure for deploying and scaling applications.
• Spring provides a set of tools and frameworks for building Java applications, while cloud platform provides infrastructure for deploying and scaling those applications.

• Spring can be used with any cloud platform, while cloud platform can support applications built with any framework.

• S...read more
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Q1. Moderate questions
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Q2. Asynchronous coding, async, mvc, sql, missing number program
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Q1. Explain your day to day activities related to spark application
Ans. 
My day to day activities related to Spark application involve writing and optimizing Spark jobs, troubleshooting issues, and collaborating with team members.
• Writing and optimizing Spark jobs to process large volumes of data efficiently

• Troubleshooting issues related to Spark application performance or errors

• Collaborating with team members to design and implement new features or improvements

• Monitoring Spark application p
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Q2. How would you optimize the performance of Data Pipelines
Ans. 
Optimizing data pipelines involves tuning hardware, optimizing algorithms, and parallelizing processing.
• Use efficient data structures and algorithms to process data quickly

• Parallelize processing to take advantage of multiple cores or nodes

• Optimize hardware resources such as memory and storage for faster data retrieval

• Use caching mechanisms to reduce redundant data processing

• Monitor and analyze pipeline performance to i
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Q1. Sql query on joins Given two tables and create output result . It was self join
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Q2. Oops polymorphism questions Microservices Design pattern Factory pattern
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Q1. Explain your previous projects
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Q2. Scenario based question
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Q1. Coding concepts , data structures
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Q1. System design related queries , past work experience related discussion
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Q1. JAVA, microservices
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Q2. DSA easy to medium questions
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