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L&T Technology Services Data Engineer Interview Questions and Answers

Updated 30 Oct 2024

L&T Technology Services Data Engineer Interview Experiences

2 interviews found

Data Engineer Interview Questions & Answers

user image Anonymous

posted on 30 Oct 2024

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

(2 Questions)

  • Q1. Python list comprehension
  • Q2. SQL- product with second highest total price
  • Ans. 

    Use SQL query to find the product with the second highest total price.

    • Use the ORDER BY clause to sort the products by total price in descending order

    • Use the LIMIT clause to select the second row after sorting

  • Answered by AI

Skills evaluated in this interview

I applied via Naukri.com and was interviewed in Mar 2022. There were 3 interview rounds.

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 

(1 Question)

  • Q1. They will probably measure your technical knowledge for their requirement as per the project.
Round 3 - HR 

(1 Question)

  • Q1. Investigated why I am changing my current job, what was my role serving at that point of time. Finally, discussion about the compensation, bonus etc.

Interview Preparation Tips

Interview preparation tips for other job seekers - Be confident on what you know, be moderate on the area where you have awareness. Your confidence shows up it all and that's what needed sometimes. In some cases your technical experience might not be sufficient for the role they are looking for, do not get low in such cases keep trying and your time will arrive. Good Luck!

Interview questions from similar companies

Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - One-on-one 

(2 Questions)

  • Q1. What is PySpark, and can you explain its features and uses?
  • Ans. 

    PySpark is a Python API for Apache Spark, used for big data processing and analytics.

    • PySpark is a Python API for Apache Spark, a fast and general-purpose cluster computing system.

    • It allows for easy integration with Python libraries and provides high-level APIs in Python.

    • PySpark can be used for processing large datasets, machine learning, real-time data streaming, and more.

    • It supports various data sources such as HDFS, ...

  • Answered by AI
  • Q2. What is the difference between PySpark and Python?
  • Ans. 

    PySpark is a Python API for Apache Spark, while Python is a general-purpose programming language.

    • PySpark is specifically designed for big data processing using Spark, while Python is a versatile programming language used for various applications.

    • PySpark allows for distributed computing and parallel processing, while Python is primarily used for sequential programming.

    • PySpark provides libraries and tools for working wit...

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

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

Round 1 - Technical 

(2 Questions)

  • Q1. Spark Architecture
  • Q2. Cache vs persist, lazy evaluation
Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. What is Databricks, Internals of it, Optimization technique
  • Ans. 

    Databricks is a unified analytics platform that provides a collaborative environment for data scientists, engineers, and analysts.

    • Databricks is built on top of Apache Spark, providing a unified platform for data engineering, data science, and business analytics.

    • Internals of Databricks include a cluster manager, job scheduler, and workspace for collaboration.

    • Optimization techniques in Databricks include query optimizati...

  • Answered by AI
  • Q2. SQL questions of joins,group by
Round 2 - Technical 

(2 Questions)

  • Q1. Scenario based azure data factory questions
  • Q2. Project structres, pyspark dataframes related

Interview Preparation Tips

Interview preparation tips for other job seekers - Juat practice fundamentals

Skills evaluated in this interview

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 experience
2
Poor
Difficulty level
-
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Approached by Company and was interviewed in Apr 2024. There was 1 interview round.

Round 1 - One-on-one 

(3 Questions)

  • Q1. What Volume of data have you handled in your POCs ?
  • Ans. 

    I have handled terabytes of data in my POCs, including data from various sources and formats.

    • Handled terabytes of data in POCs

    • Worked with data from various sources and formats

    • Used tools like Hadoop, Spark, and SQL for data processing

  • Answered by AI
  • Q2. When will you decide to use repartition and coalesce?
  • Ans. 

    Repartition is used for increasing partitions for parallelism, while coalesce is used for decreasing partitions to reduce shuffling.

    • Repartition is used when there is a need for more partitions to increase parallelism.

    • Coalesce is used when there are too many partitions and need to reduce them to avoid shuffling.

    • Example: Repartition can be used before a join operation to evenly distribute data across partitions for bette...

  • Answered by AI
  • Q3. How will you design/configure a cluster if you have given 10 petabytes of data.
  • Ans. 

    Designing/configuring a cluster for 10 petabytes of data involves considerations for storage capacity, processing power, network bandwidth, and fault tolerance.

    • Consider using a distributed file system like HDFS or object storage like Amazon S3 to store and manage the large volume of data.

    • Implement a scalable processing framework like Apache Spark or Hadoop to efficiently process and analyze the data in parallel.

    • Utilize...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Sometimes you can easily detect that they want to rush your interview by asking irrelevant questions even though you have not mentioned such expertise in your resume. Also they have only shortlisted the resume just to reject. This breaks the confidence of the person who is looking for the job and honestly conveying the level of expertise he/she has.

Skills evaluated in this interview

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

Data Engineer Interview Questions & Answers

eClerx user image Manjiri Manikrao

posted on 2 Aug 2024

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

(2 Questions)

  • Q1. Technical questions on AWS tools
  • Q2. SQL query related question (Joins)

L&T Technology Services Interview FAQs

How many rounds are there in L&T Technology Services Data Engineer interview?
L&T Technology Services interview process usually has 2 rounds. The most common rounds in the L&T Technology Services interview process are Technical, Resume Shortlist and HR.
What are the top questions asked in L&T Technology Services Data Engineer interview?

Some of the top questions asked at the L&T Technology Services Data Engineer interview -

  1. SQL- product with second highest total pr...read more
  2. They will probably measure your technical knowledge for their requirement as pe...read more
  3. Python list comprehens...read more

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