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Wonder Werkz Data Engineer Interview Questions and Answers

Updated 30 Dec 2024

Wonder Werkz Data Engineer Interview Experiences

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Data Engineer Interview Questions & Answers

user image Anonymous

posted on 30 Dec 2024

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Recruitment Consulltant and was interviewed before Dec 2023. There were 2 interview rounds.

Round 1 - Coding Test 

SQL and Python questions

Round 2 - Case Study 

Pipeline design and managerial discussion

Interview questions from similar companies

Interview experience
3
Average
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Naukri.com and was interviewed in May 2024. There were 2 interview rounds.

Round 1 - On Call 

(3 Questions)

  • Q1. Project Worked on and brief overview
  • Q2. Technologies worked on
  • Ans. 

    I have worked on a variety of technologies including Python, SQL, Hadoop, Spark, and AWS.

    • Python

    • SQL

    • Hadoop

    • Spark

    • AWS

  • Answered by AI
  • Q3. Rate in skills out of 5
  • Ans. 

    Rate in skills out of 5

    • Programming: 5

    • Data Analysis: 4

    • Database Management: 4

    • Machine Learning: 3

  • Answered by AI
Round 2 - Technical 

(5 Questions)

  • Q1. What transformation done in project
  • Q2. Explain explode function
  • Ans. 

    Explode function is used to split a string into an array of strings based on a delimiter.

    • The explode function takes in a delimiter and a string as input

    • It splits the string into an array of strings based on the delimiter

    • For example, explode(',', 'apple,banana,orange') would return ['apple', 'banana', 'orange']

  • Answered by AI
  • Q3. Python question to convert string to dictionary
  • Q4. Spark coding question to flatten a Json
  • Q5. Persist, cache and unpersist in pyspark

Interview Preparation Tips

Interview preparation tips for other job seekers - Friendly interviewer, smooth process.

Skills evaluated in this interview

Interview experience
5
Excellent
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via LinkedIn and was interviewed in Aug 2024. There was 1 interview round.

Round 1 - Technical 

(2 Questions)

  • Q1. Spark related questions
  • Q2. Previous projects done
  • Ans. 

    Developed a real-time data processing system for a retail company to optimize inventory management.

    • Designed and implemented data pipelines to ingest, process, and analyze large volumes of data

    • Utilized technologies like Apache Kafka, Spark, and Hadoop for real-time processing

    • Built dashboards and reports for stakeholders to monitor inventory levels and make data-driven decisions

  • Answered by AI
Interview experience
3
Average
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
No response

I applied via LinkedIn and was interviewed in Mar 2024. There were 2 interview rounds.

Round 1 - Technical 

(1 Question)

  • Q1. 1- Tell me about yourself 2- Spark questions (Architecture, Dag, Lineage,Broadcast, Accumulator, Repartition,coalesce,cache,persist,etc) 3- Basic Pyspark coding problem 4- Python coding problem(Array) 5- ...
Round 2 - Technical 

(1 Question)

  • Q1. 1- Tell me about yourself 2- Spark architecture 3- Parquet vs avro 4- catalyst optimiser 5- external table vs managed table vs cluster table 6- GIL in python 7- Memory management in python 8- Data skewnes...

Interview Preparation Tips

Topics to prepare for Airtel Payments Bank Data Engineer interview:
  • Python
  • Spark
  • Hadoop
  • Hive
  • SQL
Interview preparation tips for other job seekers - If you have 3 years experience be ready with the coding part as well as in depth knowledge about everything related to data engineering.
Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Aptitude Test 

General Aptitude test

Round 2 - Technical 

(2 Questions)

  • Q1. On SQL functions
  • Q2. Python coding questions
Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. Cloud Computing
  • Q2. Spark Programming

Interview Preparation Tips

Interview preparation tips for other job seekers - NA
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Keep your resume crisp and to the point. A recruiter looks at your resume for an average of 6 seconds, make sure to leave the best impression.
View all tips
Round 2 - One-on-one 

(1 Question)

  • Q1. Python, sql, aws
Round 3 - One-on-one 

(1 Question)

  • Q1. Aws, architecture and design
Round 4 - HR 

(1 Question)

  • Q1. Cultural fit and compensation
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-

I applied via Campus Placement

Round 1 - Aptitude Test 

Mostly Aptitude, Reasoning,Verbal in the round-1 with 60 questions

Round 2 - Coding Test 

2 programming questions - you can select which language u are comfortable

Round 3 - Technical 

(1 Question)

  • Q1. It's purely based on your resume, so which language u are comfortable they can prefer to ask that's the thing

Interview Preparation Tips

Interview preparation tips for other job seekers - Please whenever you are trying to submit your resume to particular company... Check the specifications what they want, what's on your resume.. based on that only your profile can select to next round..!
Interview experience
5
Excellent
Difficulty level
Easy
Process Duration
-
Result
Not Selected

I applied via Naukri.com

Round 1 - Technical 

(4 Questions)

  • Q1. Asked to write a program to check whether string is valid or not. String consists of only three kind of special characters "(), [], {}". We need to return true if all special characters are in correct for...
  • Q2. What is useRef hook used for?
  • Ans. 

    useRef hook is used to persist a mutable value across renders without causing a re-render.

    • Used to store mutable values that do not trigger re-renders.

    • Commonly used for accessing DOM elements or storing previous values.

    • Does not cause a re-render when the value changes.

  • Answered by AI
  • Q3. What are the best practices to avoid rerenders and to improve performance
  • Ans. 

    Use memoization, virtual DOM, and shouldComponentUpdate to avoid unnecessary rerenders and improve performance.

    • Implement memoization to store the result of expensive function calls and avoid recalculating them.

    • Use virtual DOM to efficiently update only the parts of the UI that have changed.

    • Override shouldComponentUpdate to prevent unnecessary rerenders by comparing current and next props/state.

  • Answered by AI
  • Q4. What are callbacks, Promises, async await
  • Ans. 

    Callbacks, Promises, async await are asynchronous programming concepts in JavaScript.

    • Callbacks are functions passed as arguments to another function to be executed later.

    • Promises are objects representing the eventual completion or failure of an asynchronous operation.

    • async await is a syntax for writing asynchronous code that looks synchronous, making it easier to read and maintain.

    • Example: Using a callback to handle th...

  • Answered by AI

Skills evaluated in this interview

Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. Duplicate in list
  • Ans. 

    Find duplicates in a list of elements.

    • Iterate through the list and keep track of elements seen so far

    • If an element is already in the seen elements, it is a duplicate

    • Use a hash set to efficiently check for duplicates

  • Answered by AI
  • Q2. Anagram in list
  • Ans. 

    Check if any two strings in the list are anagrams of each other

    • Iterate through the list and for each string, sort the characters and check if it already exists in a hashmap

    • If it exists, then the current string is an anagram of the existing string

    • Return true if anagrams are found, false otherwise

  • Answered by AI

Skills evaluated in this interview

Wonder Werkz Interview FAQs

How many rounds are there in Wonder Werkz Data Engineer interview?
Wonder Werkz interview process usually has 2 rounds. The most common rounds in the Wonder Werkz interview process are Coding Test and Case Study.

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Wonder Werkz Data Engineer Interview Process

based on 1 interview

Interview experience

4
  
Good
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