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NTT Data Information Processing Services Data Engineer Interview Questions and Answers

Updated 9 Dec 2024

NTT Data Information Processing Services Data Engineer Interview Experiences

1 interview found

Interview experience
4
Good
Difficulty level
Easy
Process Duration
2-4 weeks
Result
Selected Selected

I applied via LinkedIn and was interviewed in Jun 2024. There were 3 interview rounds.

Round 1 - Coding Test 

General question around data engineering

Round 2 - One-on-one 

(3 Questions)

  • Q1. Different apache tech and tools
  • Q2. What is snowflake
  • Q3. Coding questions on python
Round 3 - HR 

(2 Questions)

  • Q1. About location preference
  • Q2. Behavioural questions

Interview Preparation Tips

Interview preparation tips for other job seekers - Nothing specific

Interview questions from similar companies

Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
No response
Round 1 - Technical 

(4 Questions)

  • Q1. What is the architecture of Apache Spark?
  • Ans. 

    Apache Spark architecture includes a cluster manager, worker nodes, and driver program.

    • Apache Spark architecture consists of a cluster manager, which allocates resources and schedules tasks.

    • Worker nodes execute tasks and store data in memory or disk.

    • Driver program coordinates tasks and communicates with the cluster manager.

    • Spark applications run as independent sets of processes on a cluster, coordinated by the SparkCon...

  • Answered by AI
  • Q2. What is the difference between the reduceBy and groupBy transformations in Apache Spark?
  • Ans. 

    reduceBy is used to aggregate data based on key, while groupBy is used to group data based on key.

    • reduceBy is a transformation that combines the values of each key using an associative function and a neutral 'zero value'.

    • groupBy is a transformation that groups the data based on a key and returns a grouped data set.

    • reduceBy is more efficient for aggregating data as it reduces the data before shuffling, while groupBy shu...

  • Answered by AI
  • Q3. What is the difference between RDD (Resilient Distributed Datasets) and DataFrame in Apache Spark?
  • Ans. 

    RDD is a low-level abstraction representing a distributed collection of objects, while DataFrame is a higher-level abstraction representing a distributed collection of data organized into named columns.

    • RDD is more suitable for unstructured data and low-level transformations, while DataFrame is more suitable for structured data and high-level abstractions.

    • DataFrames provide optimizations like query optimization and code...

  • Answered by AI
  • Q4. What are the different modes of execution in Apache Spark?
  • Ans. 

    The different modes of execution in Apache Spark include local mode, standalone mode, YARN mode, and Mesos mode.

    • Local mode: Spark runs on a single machine with one executor.

    • Standalone mode: Spark runs on a cluster managed by a standalone cluster manager.

    • YARN mode: Spark runs on a Hadoop cluster using YARN as the resource manager.

    • Mesos mode: Spark runs on a Mesos cluster with Mesos as the resource manager.

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

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

Round 1 - Technical 

(2 Questions)

  • Q1. How to Ensure Data loss in ETL pipeline
  • Q2. Why to spin up Dataproc cluster when there is serverless batch job exists.
Interview experience
2
Poor
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
No response

I applied via Campus Placement and was interviewed in Oct 2024. There was 1 interview round.

Round 1 - Technical 

(2 Questions)

  • Q1. Write code in regular expression to remove the special characters
  • Ans. 

    Use regular expression to remove special characters from a string

    • Use the regex pattern [^a-zA-Z0-9\s] to match any character that is not a letter, digit, or whitespace

    • Use the replace() function in your programming language to replace the matched special characters with an empty string

    • Example: input string 'Hello! How are you?' will become 'Hello How are you' after removing special characters

  • Answered by AI
  • Q2. Questions on resume
Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(1 Question)

  • Q1. Python SQL question
Round 2 - Technical 

(1 Question)

  • Q1. More on Project side
Round 3 - HR 

(1 Question)

  • Q1. Salary Discussion
Interview experience
1
Bad
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(1 Question)

  • Q1. Data engineer roles and resposibilities

Interview Preparation Tips

Interview preparation tips for other job seekers - Don't Go, worst management service and lots of office politics.
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Job Portal and was interviewed in Aug 2024. There were 3 interview rounds.

Round 1 - Aptitude Test 

Its mandatory test even for experience people

Round 2 - Technical 

(1 Question)

  • Q1. Related to technology
Round 3 - HR 

(1 Question)

  • Q1. Very good discussion towards work culture, salary and all
Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. Pyspark problem
  • Ans. 

    The question is about a Pyspark problem.

    • Use SparkSession to create a Spark application

    • Load data from a source like CSV or Parquet files

    • Perform transformations and actions on the data using PySpark functions

    • Optimize performance by using caching and partitioning

  • Answered by AI
  • Q2. Sql problems and problem solving

Skills evaluated in this interview

Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. Sql questions were
  • Q2. Spark related aswell
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Naukri.com and was interviewed in May 2024. There was 1 interview round.

Round 1 - Coding Test 

1. Questions on spark basica
2. Sql coding questions
3. Java or scala basics

NTT Data Information Processing Services Interview FAQs

How many rounds are there in NTT Data Information Processing Services Data Engineer interview?
NTT Data Information Processing Services interview process usually has 3 rounds. The most common rounds in the NTT Data Information Processing Services interview process are Coding Test, One-on-one Round and HR.
How to prepare for NTT Data Information Processing Services 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 NTT Data Information Processing Services. The most common topics and skills that interviewers at NTT Data Information Processing Services expect are Python, Consulting, Automation, SQL and Business process.
What are the top questions asked in NTT Data Information Processing Services Data Engineer interview?

Some of the top questions asked at the NTT Data Information Processing Services Data Engineer interview -

  1. Different apache tech and to...read more
  2. what is snowfl...read more
  3. coding questions on pyt...read more

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NTT Data Information Processing Services Data Engineer Interview Process

based on 1 interviews in last 1 year

2 Interview rounds

  • Technical Round 1
  • Technical Round 2
NTT Data Information Processing Services Data Engineer Salary
based on 42 salaries
₹3.6 L/yr - ₹21 L/yr
15% more than the average Data Engineer Salary in India
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