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NexTurn Data Engineer Interview Questions and Answers

Updated 15 Jul 2024

NexTurn Data Engineer Interview Experiences

2 interviews found

Data Engineer Interview Questions & Answers

user image Anonymous

posted on 15 Jul 2024

Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Aptitude Test 

Easy and moderate level question

Round 2 - Group Discussion 

Given a relevant topic and discussion on it

Round 3 - HR 

(2 Questions)

  • Q1. Introducd yourself
  • Q2. Why do you want to join us

Data Engineer Interview Questions & Answers

user image Anonymous

posted on 23 Oct 2023

Interview experience
4
Good
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 - Aptitude Test 

Reasoning and aptitude questions were asked

Round 3 - One-on-one 

(1 Question)

  • Q1. Interview was around python programming and team fitment

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Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Aptitude Test 

It wa really a great experience.

Round 2 - Coding Test 

It was really a great experience.

Round 3 - HR 

(2 Questions)

  • Q1. Where do you see yourself after 3 years?
  • Ans. 

    In 3 years, I see myself leading a team of data engineers, implementing cutting-edge technologies, and driving impactful data-driven decisions.

    • Leading a team of data engineers

    • Implementing cutting-edge technologies

    • Driving impactful data-driven decisions

  • Answered by AI
  • Q2. What are your strenghts?
  • Ans. 

    My strengths include strong analytical skills, attention to detail, and the ability to work well in a team.

    • Strong analytical skills - able to analyze complex data sets and derive meaningful insights

    • Attention to detail - meticulous in ensuring data accuracy and quality

    • Team player - collaborate effectively with colleagues to achieve common goals

  • Answered by AI
Round 4 - One-on-one 

(3 Questions)

  • Q1. What projects you have worked upon?
  • Ans. 

    I have worked on projects involving building data pipelines, optimizing database performance, and creating machine learning models.

    • Built data pipelines using Apache Spark and Kafka

    • Optimized database performance by tuning queries and indexes

    • Created machine learning models for predictive analytics

    • Implemented real-time data processing using technologies like Apache Flink

  • Answered by AI
  • Q2. What is your CGPA?
  • Ans. 

    My CGPA is 3.8 out of 4.0.

    • My CGPA is 3.8, which is considered high in my university.

    • I have consistently maintained a high CGPA throughout my academic career.

    • I have received several academic awards based on my CGPA.

    • My CGPA reflects my dedication and hard work towards my studies.

  • Answered by AI
  • Q3. What are your hobbies?
  • Ans. 

    My hobbies include hiking, photography, and playing the guitar.

    • Hiking: I enjoy exploring nature trails and challenging myself physically.

    • Photography: I love capturing moments and landscapes through my camera lens.

    • Playing the guitar: I find relaxation and creativity in strumming chords and learning new songs.

  • Answered by AI
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected
Round 1 - Coding Test 

3 SQL and 2 Python questions were asked, SQL was moderate, Python was tough

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare well on SQL and Python
Interview experience
4
Good
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Referral and was interviewed in May 2024. There were 4 interview rounds.

Round 1 - Coding Test 

Python and SQL questions were asked

Round 2 - One-on-one 

(1 Question)

  • Q1. I was asked about the project
Round 3 - One-on-one 

(1 Question)

  • Q1. ACID properties of DBMS
Round 4 - HR 

(1 Question)

  • Q1. HR question and family background

Interview Preparation Tips

Topics to prepare for Junglee Games Data Engineer interview:
  • SQL
  • Python
Interview experience
1
Bad
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
-

I applied via Job Portal and was interviewed in Apr 2024. There was 1 interview round.

Round 1 - One-on-one 

(2 Questions)

  • Q1. Basics - Background & knowledge
  • Q2. Technical case solving round
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected
Round 1 - Coding Test 

Python , dictionary operations

Round 2 - HR 

(2 Questions)

  • Q1. Family background
  • Q2. Location and salary
Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(1 Question)

  • Q1. Spark based questions and coding questions
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Campus Placement and was interviewed before May 2023. There was 1 interview round.

Round 1 - Technical 

(1 Question)

  • Q1. What are acid properties,tell about decorator in python,list comprehension questions,project explanation

Interview Preparation Tips

Interview preparation tips for other job seekers - Be strong in python and one database and be ready with good projects
Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Aptitude Test 

General Aptitude Questions

Round 2 - Technical 

(3 Questions)

  • Q1. Queries on SQL, Basic Statistic Question related to normal curve, Basic Python question(from python interview question list of any website)
  • Q2. Shape of normal Distribution
  • Ans. 

    The shape of a normal distribution is bell-shaped and symmetrical.

    • A normal distribution has a peak at the mean and tails that extend to infinity in both directions.

    • The distribution is symmetrical, meaning that the left and right halves mirror each other.

    • The standard deviation determines the spread or width of the distribution.

    • Many natural phenomena and measurements in various fields follow a normal distribution.

    • Example...

  • Answered by AI
  • Q3. Valuess of mean median and mode
  • Ans. 

    Mean, median, and mode are measures of central tendency in statistics.

    • Mean is the average of a set of numbers, calculated by summing all the values and dividing by the total count.

    • Median is the middle value in a sorted list of numbers. If there is an even number of values, it is the average of the two middle values.

    • Mode is the value that appears most frequently in a set of numbers. It can be a single value or multiple

  • Answered by AI
Round 3 - HR 

(1 Question)

  • Q1. General HR questions
Round 4 - One-on-one 

(1 Question)

  • Q1. General discussion round with ceo and about projects

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare SQL upto Advanced level
Then basics of python and Statistics

NexTurn Interview FAQs

How many rounds are there in NexTurn Data Engineer interview?
NexTurn interview process usually has 3 rounds. The most common rounds in the NexTurn interview process are Aptitude Test, Group Discussion and HR.
How to prepare for NexTurn 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 NexTurn . The most common topics and skills that interviewers at NexTurn expect are Analytical Chemistry, PDF, Python, Big Data and Cloud Computing.

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NexTurn Data Engineer Interview Process

based on 2 interviews

Interview experience

4.5
  
Good
View more
NexTurn Data Engineer Salary
based on 8 salaries
₹3 L/yr - ₹5.5 L/yr
57% less than the average Data Engineer Salary in India
View more details

NexTurn Data Engineer Reviews and Ratings

based on 5 reviews

3.5/5

Rating in categories

4.6

Skill development

4.1

Work-life balance

3.0

Salary

3.0

Job security

4.1

Company culture

3.4

Promotions

4.1

Work satisfaction

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