HiLabs Data Engineer Interview Questions and Answers

Normal 3 leetcode medium questions

Machine coding round to design tail -f

Q1. Questions on internal working of os
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Q2. Questions on projects
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MCQ based Questions from topics of DSA , web development

Q1. Asked us to live code tail -f unix command
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Machine coding round

Q1. TCP/IP related questions, what happens when you search a webpage?
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Q2. Past projects discussions
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Q1. Behavioural questions on how would you tackle a particular scenario
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It was a Basic Aptitude Test

We were asked to do Sorting, SQL queries (join)

Q1. Can you tell me about yourself?
Ans. 
I am a passionate software engineer with 5 years of experience in developing web applications using various technologies.
• 5 years of experience in software development

• Proficient in developing web applications

• Skilled in using various technologies such as Java, JavaScript, and SQL
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Coding test was taken on hackerearcth pkatform there was a generic problem statement based on networking no need to pass minimum half of the test cases to clear the interview round

Q1. The next round was one on one round in this questions were mainly asked regarding the experience and then they were mainly focussing on the developers who know rails and python
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Q2. Python and rails were majorly needed to clear the roeund
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Q3. Problem statement can be founded on geeks for geeks
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Chrome and Firefox Browser automation

Log file tail last n lines where n is configurable. Followup question on how you can optimize it further incase log file size is in TBs and incase it is cluster of servers

Q1. Detailed Technical background check and discussion on past projects.
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Q2. Messaging queue and best practices
Ans. 
Messaging queues are used to manage asynchronous communication between different components of a system.
• Use a reliable messaging queue system like RabbitMQ or Apache Kafka

• Ensure messages are properly formatted and serialized

• Implement message acknowledgement and retry mechanisms

• Monitor queue health and performance

• Consider message ordering and partitioning for scalability

• Avoid long-running tasks in message handlers
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Q3. Binary Search Tree twisted question
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Q4. Map Reduce concept for solving dictionary keywords
Ans. 
MapReduce is a programming model for processing large data sets in parallel.
• MapReduce divides the input data into chunks and processes them in parallel.

• It consists of two phases: Map and Reduce.

• Map function takes input data and converts it into key-value pairs.

• Reduce function takes the output of Map as input and combines the values with the same key.

• It is used for solving dictionary keywords by mapping each word to a k
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Aptitude was conducted through online, it was not tough.

Offline round where they contain basic program, sql, and frontend questions

Q1. They asked about program that we have written.
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Q1. HR was friendly
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Q1. How do you measure success at work?
Ans. 
Success at work is measured by achieving goals, delivering high-quality work, and receiving recognition.
• Achieving goals set by the team or organization

• Delivering high-quality work that meets or exceeds expectations

• Receiving recognition from colleagues, managers, or clients

• Meeting deadlines and completing tasks efficiently

• Contributing to the overall success of the team or project
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Q2. How many programming languages do you know?
Ans. 
I know multiple programming languages.
• I am proficient in Java, Python, and C++.

• I have experience with web development languages such as HTML, CSS, and JavaScript.

• I am familiar with scripting languages like Bash and PowerShell.

• I have worked with database query languages like SQL.

• I have knowledge of mobile app development languages like Swift and Kotlin.
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