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Fourkites Data Engineer Interview Questions and Answers

Updated 4 Oct 2022

Fourkites Data Engineer Interview Experiences

2 interviews found

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 - Coding Test 

They are asking about SQL queries and BI dashboard knowledge

Round 3 - One-on-one 

(2 Questions)

  • Q1. 1. Tell about yourself? 2. What is your Project? 3. WHat challenges faced in Data Engineering role 4. BI dashboard development experience
  • Ans. 

    I am a data engineer with experience in BI dashboard development and overcoming challenges in the field.

    • I have worked on various data engineering projects, including building data pipelines and optimizing data storage.

    • One of my notable projects involved developing a real-time data processing system for a retail company, which improved their inventory management and sales forecasting.

    • In my previous role, I faced challen...

  • Answered by AI
  • Q2. 1. What is Data models 2. What are the activities used in ADF 3. What is IR?
  • Ans. 

    Answers to questions related to Data Models, ADF activities, and IR.

    • Data models are the representation of data structures and relationships between them.

    • ADF activities include data movement, data transformation, and control activities.

    • IR stands for Integration Runtime, which is a compute infrastructure used to provide data integration capabilities across different network environments.

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Expecting scenario based questions and challanges. So prepare based on this
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 - Coding Test 

They are asking about SQL queries and BI dashboard knowledge

Round 3 - One-on-one 

(2 Questions)

  • Q1. 1. Tell about yourself? 2. What is your Project? 3. WHat challenges faced in Data Engineering role 4. BI dashboard development experience
  • Q2. 1. What is Data models 2. What are the activities used in ADF 3. What is IR?
  • Ans. 

    Answers to questions related to Data Engineer role

    • Data models are the logical representation of data objects and their relationships

    • ADF activities include data movement, data transformation, and control activities

    • IR stands for Integration Runtime, which is a compute infrastructure used to provide data integration capabilities

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Expecting scenario based questions and challanges. So prepare based on this

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Interview Questionnaire 

2 Questions

  • Q1. What is oops
  • Ans. 

    OOPs is a programming paradigm that uses objects to represent real-world entities and their interactions.

    • OOPs stands for Object-Oriented Programming.

    • It focuses on encapsulation, inheritance, and polymorphism.

    • Encapsulation means hiding the implementation details of an object from the outside world.

    • Inheritance allows creating new classes based on existing ones.

    • Polymorphism allows using a single interface to represent dif...

  • Answered by AI
  • Q2. Real world thing

I applied via Naukri.com and was interviewed in Jun 2020. There were 4 interview rounds.

Interview Questionnaire 

1 Question

  • Q1. About projects

Interview Preparation Tips

Interview preparation tips for other job seekers - Be transparent and real. Don't bluff :)
Fingent has got a good number of people in the interview panel(my personal experience)
Even if you do not know the answer, the panel will explain it to you.

I applied via Company Website and was interviewed in Jun 2022. There was 1 interview round.

Round 1 - Technical 

(2 Questions)

  • 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

  • Answered by AI
  • 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.

  • Answered by AI

Interview Preparation Tips

Topics to prepare for MapmyIndia Software Engineer interview:
  • Software
  • Software Engineering
  • Technical Skills
Interview preparation tips for other job seekers - Job search like it's your job
Know your and self what you want
Interview experience
1
Bad
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
Selected Selected

I appeared for an interview in Jul 2024.

Round 1 - Coding Test 

Create an API using Notepad to check if a string is a palindrome or not.

Round 2 - One-on-one 

(1 Question)

  • Q1. Solid principal

Interview Preparation Tips

Interview preparation tips for other job seekers - Don't join worst company
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. How to productinize Data Pipelines
  • Ans. 

    To productinize Data Pipelines, one must automate, monitor, and scale the pipeline for efficient and reliable data processing.

    • Automate the data pipeline using tools like Apache Airflow or Kubernetes

    • Monitor the pipeline for errors, latency, and data quality issues using monitoring tools like Prometheus or Grafana

    • Scale the pipeline by optimizing code, using distributed computing frameworks like Spark, and leveraging clou...

  • Answered by AI
  • Q2. How does big query works
  • Ans. 

    BigQuery is a fully-managed, serverless data warehouse that enables scalable analysis over petabytes of data.

    • BigQuery uses a distributed architecture to process and analyze large datasets quickly.

    • It allows users to run SQL-like queries on datasets stored in Google Cloud Storage.

    • BigQuery automatically scales to handle large amounts of data and can be integrated with other Google Cloud services.

    • It supports real-time data...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Learn how to run a pipeline in production

Skills evaluated in this interview

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 - Technical 

(2 Questions)

  • Q1. Describe Life cycle in react
  • Ans. 

    React has three main phases in its lifecycle: mounting, updating, and unmounting.

    • Mounting: when a component is created and inserted into the DOM

    • Updating: when a component is updated due to changes in props or state

    • Unmounting: when a component is removed from the DOM

    • Lifecycle methods can be used to perform actions at each phase, such as componentDidMount() or componentWillUnmount()

    • React also has error handling methods,

  • Answered by AI
  • Q2. Explain strict mode in javascript and it's use
  • Ans. 

    Strict mode is a way to write secure and optimized JavaScript code.

    • Enables catching of silent errors

    • Disallows duplicate property names or parameters

    • Prevents use of undeclared variables

    • Makes `eval()` safer to use

    • Throws errors on invalid usage of `this` keyword

  • Answered by AI
Round 3 - Assignment 

CURD operations along with implementation of a mock UI

Interview Preparation Tips

Interview preparation tips for other job seekers - They are doing good job. If possible try to send a rejection mail along with the reason if candidate is not selected.

Skills evaluated in this interview

Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Don’t add your photo or details such as gender, age, and address in your resume. These details do not add any value.
View all tips
Round 2 - Technical 

(1 Question)

  • Q1. Tell about Oops concepts
  • Ans. 

    OOPs concepts are fundamental principles in object-oriented programming, including inheritance, encapsulation, polymorphism, and abstraction.

    • Inheritance: Allows a class to inherit properties and behavior from another class.

    • Encapsulation: Bundling data and methods that operate on the data into a single unit.

    • Polymorphism: Ability to present the same interface for different data types.

    • Abstraction: Hiding the complex imple...

  • Answered by AI
Round 3 - Technical 

(1 Question)

  • Q1. Will ask coding related
Round 4 - HR 

(1 Question)

  • Q1. What is Expected salary
Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(1 Question)

  • Q1. More about API automation

Fourkites Interview FAQs

How many rounds are there in Fourkites Data Engineer interview?
Fourkites interview process usually has 3 rounds. The most common rounds in the Fourkites interview process are Resume Shortlist, Coding Test and One-on-one Round.
How to prepare for Fourkites Data Engineer interview?
Go through your CV in detail and study all the technologies mentioned in your CV. Prepare at least two technologies or languages in depth if you are appearing for a technical interview at Fourkites. The most common topics and skills that interviewers at Fourkites expect are Big Data, Hadoop, Java, Machine Learning and SQL.

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