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LTIMindtree Senior Data Engineer Interview Questions and Answers

Updated 24 Feb 2025

40 Interview questions

A Senior Data Engineer was asked 4mo ago
Q. Write an SQL query to join two tables.
Ans. 

Joining two tables in SQL combines rows based on a related column, enabling comprehensive data analysis.

  • Use INNER JOIN to return only matching rows from both tables. Example: SELECT * FROM TableA INNER JOIN TableB ON TableA.id = TableB.a_id;

  • LEFT JOIN returns all rows from the left table and matched rows from the right table. Example: SELECT * FROM TableA LEFT JOIN TableB ON TableA.id = TableB.a_id;

  • RIGHT JOIN retur...

🔥 Asked by recruiter 2 times
A Senior Data Engineer was asked 6mo ago
Q. How do you optimize performance in Spark?
Ans. 

Performance optimization in Spark involves tuning configurations, optimizing code, and utilizing caching.

  • Tune Spark configurations such as executor memory, cores, and parallelism

  • Optimize code by reducing unnecessary shuffles, using efficient transformations, and avoiding unnecessary data movements

  • Utilize caching to store intermediate results in memory for faster access

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A Senior Data Engineer was asked 6mo ago
Q. Can you describe your experience with read and write operations in data engineering?
Ans. 

Read and write in data engineering refers to the processes of data ingestion and data output in systems.

  • Reading data involves extracting information from various sources like databases, APIs, or files.

  • Writing data refers to storing processed or raw data into databases, data lakes, or other storage solutions.

  • Example of reading: Using SQL queries to fetch data from a relational database.

  • Example of writing: Using ETL...

A Senior Data Engineer was asked 6mo ago
Q. What is Lambda?
Ans. 

Lambda is a serverless computing service that runs code in response to events without provisioning servers.

  • Lambda allows you to run code in response to triggers such as HTTP requests via API Gateway.

  • It supports multiple programming languages, including Python, Node.js, and Java.

  • You only pay for the compute time you consume, making it cost-effective for variable workloads.

  • Lambda can be integrated with other AWS ser...

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a senior software engineer
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Need clarity on Ltimindtree's Variable pay
Hi, I have received an Offer from LTIMINDTREE, and there offering 24L(5Yoe) P3, 21.8L as Fixed and 2L as variable pay monthly. Client is Amazon I also have another offer with HTC, have two questions on the vp. The HR is trying to say that the VP is like non performance, regardless of performance you'll get it unless other companies which offer it based on performance...is this tru ? Then if I'm receiving a hike next year, what it'll be based on ?, will the 2.2L VP apply again next year. Hows the hike and promotion ? LTIMindtree
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A Senior Data Engineer was asked 8mo ago
Q. What is a Spark cluster?
Ans. 

Spark cluster is a group of interconnected computers that work together to process large datasets using Apache Spark.

  • Consists of a master node and multiple worker nodes

  • Master node manages the distribution of tasks and resources

  • Worker nodes execute the tasks in parallel

  • Used for processing big data and running distributed computing jobs

A Senior Data Engineer was asked 8mo ago
Q. How does Hive work with HDFS?
Ans. 

Hive is a data warehouse system built on top of Hadoop for querying and analyzing large datasets stored in HDFS.

  • Hive translates SQL-like queries into MapReduce jobs to process data stored in HDFS

  • It uses a metastore to store metadata about tables and partitions

  • HiveQL is the query language used in Hive, similar to SQL

  • Hive supports partitioning, bucketing, and indexing for optimizing queries

A Senior Data Engineer was asked 8mo ago
Q. What is DENSE_RANK in SQL?
Ans. 

Dense rank in SQL assigns a unique rank to each distinct row in a result set, with no gaps between the ranks.

  • Dense rank is used to assign a rank to each row in a result set without any gaps.

  • It differs from regular rank in that it does not skip ranks if there are ties.

  • For example, if two rows have the same value and are ranked 1st, the next row will be ranked 2nd, not 3rd.

Are these interview questions helpful?
A Senior Data Engineer was asked 9mo ago
Q. What is PySpark?
Ans. 

Pyspark is a Python API for Apache Spark, a powerful open-source distributed computing system.

  • Pyspark allows users to write Spark applications using Python programming language.

  • It provides high-level APIs in Python for Spark's core functionality.

  • Pyspark can be used for processing large datasets in a distributed computing environment.

  • Example: Using Pyspark to perform data analysis and machine learning tasks on big ...

A Senior Data Engineer was asked 9mo ago
Q. How do you combine two columns in a PySpark DataFrame?
Ans. 

Use the withColumn method in PySpark to combine two columns in a DataFrame.

  • Use the withColumn method to create a new column by combining two existing columns

  • Specify the new column name and the expression to combine the two columns

  • Example: df = df.withColumn('combined_column', concat(col('column1'), lit(' '), col('column2')))

A Senior Data Engineer was asked 9mo ago
Q. Explain the Spark architecture in detail.
Ans. 

Spark architecture includes driver, executor, and cluster manager components for distributed data processing.

  • Spark architecture consists of a driver program that manages the execution of tasks across multiple worker nodes.

  • Executors are responsible for executing tasks on worker nodes and storing data in memory or disk.

  • Cluster manager is used to allocate resources and schedule tasks across the cluster.

  • Spark applicat...

LTIMindtree Senior Data Engineer Interview Experiences

53 interviews found

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

(2 Questions)

  • Q1. Sql query to write max salary
  • Ans. 

    Use SQL query with MAX function to find the highest salary in a table.

    • Use SELECT MAX(salary) FROM table_name;

    • Make sure to replace 'salary' with the actual column name in the table.

    • Ensure proper permissions to access the table.

  • Answered by AI
  • Q2. What is dense rank in sql
  • Ans. 

    Dense rank in SQL assigns a unique rank to each distinct row in a result set, with no gaps between the ranks.

    • Dense rank is used to assign a rank to each row in a result set without any gaps.

    • It differs from regular rank in that it does not skip ranks if there are ties.

    • For example, if two rows have the same value and are ranked 1st, the next row will be ranked 2nd, not 3rd.

  • Answered by AI
Round 2 - Technical 

(2 Questions)

  • Q1. What is spark cluster
  • Ans. 

    Spark cluster is a group of interconnected computers that work together to process large datasets using Apache Spark.

    • Consists of a master node and multiple worker nodes

    • Master node manages the distribution of tasks and resources

    • Worker nodes execute the tasks in parallel

    • Used for processing big data and running distributed computing jobs

  • Answered by AI
  • Q2. How hive works in hdfs
  • Ans. 

    Hive is a data warehouse system built on top of Hadoop for querying and analyzing large datasets stored in HDFS.

    • Hive translates SQL-like queries into MapReduce jobs to process data stored in HDFS

    • It uses a metastore to store metadata about tables and partitions

    • HiveQL is the query language used in Hive, similar to SQL

    • Hive supports partitioning, bucketing, and indexing for optimizing queries

  • Answered by AI

Skills evaluated in this interview

Interview experience
5
Excellent
Difficulty level
Easy
Process Duration
2-4 weeks
Result
Selected Selected

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

Round 1 - One-on-one 

(2 Questions)

  • Q1. Database related questions
  • Q2. Sql queries and performance tuning questions.
Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Coding Test 

Codility test on SQL, Spark and Python

Round 2 - Coding Test 

Technical interviewer asked on Spark, Python and SQL

Round 3 - HR 

(1 Question)

  • Q1. What skills will you bring to this position?
  • Ans. 

    I will bring strong programming skills, experience with big data technologies, and a deep understanding of data processing and analysis.

    • Strong programming skills in languages like Python, Java, or Scala

    • Experience with big data technologies such as Hadoop, Spark, and Kafka

    • Deep understanding of data processing and analysis techniques

    • Ability to design and implement scalable data pipelines

    • Experience with cloud platforms li...

  • Answered by AI
Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. Tell us about yourself
  • Ans. 

    I am a Senior Data Engineer with extensive experience in data architecture, ETL processes, and big data technologies.

    • Data Architecture: I have designed scalable data architectures for various organizations, ensuring efficient data storage and retrieval.

    • ETL Processes: Developed robust ETL pipelines using tools like Apache NiFi and Talend, which improved data processing times by 30%.

    • Big Data Technologies: Proficient in u...

  • Answered by AI
  • Q2. Python use case and sql use cases
Interview experience
4
Good
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
No response

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

Round 1 - Technical 

(2 Questions)

  • Q1. How to handle missing data in pyspark dataframe.
  • Ans. 

    Handle missing data in pyspark dataframe by using functions like dropna, fillna, or replace.

    • Use dropna() function to remove rows with missing data

    • Use fillna() function to fill missing values with a specified value

    • Use replace() function to replace missing values with a specified value

  • Answered by AI
  • Q2. Shared some table details and asked to get get maximum salary paid customer for all department from the table using pyspark
  • Ans. 

    Use PySpark to find the maximum salary paid to customers in each department from a given table.

    • Load the data into a DataFrame using spark.read.

    • Group the data by department using groupBy() method.

    • Use agg() function to calculate the maximum salary for each department.

    • Example: df.groupBy('department').agg({'salary': 'max'})

    • Show the results using show() method.

  • Answered by AI

Interview Preparation Tips

Topics to prepare for LTIMindtree Senior Data Engineer interview:
  • pyspark
  • aws glue
  • Python

Skills evaluated in this interview

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

(2 Questions)

  • Q1. Python sorting test
  • Q2. SQL for joining 2 tables
  • Ans. 

    Joining two tables in SQL combines rows based on a related column, enabling comprehensive data analysis.

    • Use INNER JOIN to return only matching rows from both tables. Example: SELECT * FROM TableA INNER JOIN TableB ON TableA.id = TableB.a_id;

    • LEFT JOIN returns all rows from the left table and matched rows from the right table. Example: SELECT * FROM TableA LEFT JOIN TableB ON TableA.id = TableB.a_id;

    • RIGHT JOIN returns al...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Coding is must, that's very imp
Interview experience
2
Poor
Difficulty level
-
Process Duration
-
Result
-

I applied via Approached by Company

Round 1 - Technical 

(2 Questions)

  • Q1. What is Lambda?
  • Ans. 

    Lambda is a serverless computing service that runs code in response to events without provisioning servers.

    • Lambda allows you to run code in response to triggers such as HTTP requests via API Gateway.

    • It supports multiple programming languages, including Python, Node.js, and Java.

    • You only pay for the compute time you consume, making it cost-effective for variable workloads.

    • Lambda can be integrated with other AWS services...

  • Answered by AI
  • Q2. Read and write?
  • Ans. 

    Read and write in data engineering refers to the processes of data ingestion and data output in systems.

    • Reading data involves extracting information from various sources like databases, APIs, or files.

    • Writing data refers to storing processed or raw data into databases, data lakes, or other storage solutions.

    • Example of reading: Using SQL queries to fetch data from a relational database.

    • Example of writing: Using ETL tool...

  • Answered by AI

Senior Data Engineer Interview Questions & Answers

user image Kavya sri Vemula

posted on 6 Jul 2024

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

Aptitude test and 2 coding questions

Round 2 - Technical 

(2 Questions)

  • Q1. What is the oops of java
  • Ans. 

    Object-oriented programming concepts in Java

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

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

    • Polymorphism: ability of a method to do different things based on the object it is acting upon

    • Abstraction: hiding the implementation details and showing only the functionality to the user

  • Answered by AI
  • Q2. On your self intrest on technologiea
Round 3 - HR 

(2 Questions)

  • Q1. Talk something about your best frds
  • Ans. 

    My best friends are like family to me, always there to support and uplift me.

    • They are always there for me in good times and bad.

    • We share common interests and hobbies.

    • They understand me and accept me for who I am.

    • We have created many unforgettable memories together.

    • I can always count on them to give me honest advice and feedback.

  • Answered by AI
  • Q2. What do you heard about mindtree
  • Ans. 

    Mindtree is an Indian multinational information technology and outsourcing company.

    • Founded in 1999

    • Headquartered in Bangalore, India

    • Provides IT services and consulting

    • Acquired by L&T in 2019

  • Answered by AI

Skills evaluated in this interview

Interview experience
1
Bad
Difficulty level
-
Process Duration
-
Result
Not Selected

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

Round 1 - Case Study 

DWT concept based questions, even though questions were perefectly answered, and the interviewer gave a promise note, no call back from them

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

Spark and Big data related questions

Round 2 - HR 

(1 Question)

  • Q1. Salary discussion

Interview Preparation Tips

Interview preparation tips for other job seekers - Overall process is gud for the interview

LTIMindtree Interview FAQs

How many rounds are there in LTIMindtree Senior Data Engineer interview?
LTIMindtree interview process usually has 2-3 rounds. The most common rounds in the LTIMindtree interview process are Technical, HR and Coding Test.
How to prepare for LTIMindtree Senior 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 LTIMindtree. The most common topics and skills that interviewers at LTIMindtree expect are PLSQL, Performance Tuning, SDLC, SQL and Adf.
What are the top questions asked in LTIMindtree Senior Data Engineer interview?

Some of the top questions asked at the LTIMindtree Senior Data Engineer interview -

  1. 7) How does query acceleration speed up query processi...read more
  2. Shared some table details and asked to get get maximum salary paid customer for...read more
  3. How to handle missing data in pyspark datafra...read more
How long is the LTIMindtree Senior Data Engineer interview process?

The duration of LTIMindtree Senior Data Engineer interview process can vary, but typically it takes about less than 2 weeks to complete.

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Overall Interview Experience Rating

3.8/5

based on 68 interview experiences

Difficulty level

Easy 20%
Moderate 67%
Hard 13%

Duration

Less than 2 weeks 69%
2-4 weeks 28%
4-6 weeks 3%
View more
LTIMindtree Senior Data Engineer Salary
based on 4.3k salaries
₹8.8 L/yr - ₹17.8 L/yr
38% less than the average Senior Data Engineer Salary in India
View more details

LTIMindtree Senior Data Engineer Reviews and Ratings

based on 404 reviews

3.3/5

Rating in categories

3.2

Skill development

3.4

Work-life balance

2.8

Salary

3.3

Job security

3.2

Company culture

2.4

Promotions

3.1

Work satisfaction

Explore 404 Reviews and Ratings
Senior Data Engineer

Pune

4-8 Yrs

₹ 7.5-26 LPA

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