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LTIMindtree Data Architect Interview Questions, Process, and Tips

Updated 21 Jun 2024

Top LTIMindtree Data Architect Interview Questions and Answers

  • Q1. What are 7 layers in Azure Data Factory to do the pipelining to accept data from on-prem and to complete the process to push processed data to Azure Cloud
  • Q2. What are the steps to convert normal file to flat file in Python
  • Q3. what is lambda architecture
View all 7 questions

LTIMindtree Data Architect Interview Experiences

2 interviews found

Data Architect Interview Questions & Answers

user image Varsha Kolte

posted on 7 Jun 2024

Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-

I applied via Approached by Company

Round 1 - Technical 

(2 Questions)

  • Q1. Window function coding test
  • Ans. 

    Window function coding test involves using window functions in SQL to perform calculations within a specified window of rows.

    • Understand the syntax and usage of window functions in SQL

    • Use window functions like ROW_NUMBER(), RANK(), DENSE_RANK(), etc. to perform calculations

    • Specify the window frame using PARTITION BY and ORDER BY clauses

    • Practice writing queries with window functions to get comfortable with their usage

  • Answered by AI
  • Q2. Explain azure data factory
  • Ans. 

    Azure Data Factory is a cloud-based data integration service that allows you to create, schedule, and manage data pipelines.

    • Azure Data Factory is used to move and transform data from various sources to destinations.

    • It supports data integration processes like ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform).

    • You can create data pipelines using a visual interface in Azure Data Factory.

    • It can connect to on...

  • Answered by AI
Round 2 - Technical 

(2 Questions)

  • Q1. What is data vault
  • Ans. 

    Data Vault is a modeling methodology for designing highly scalable and flexible data warehouses.

    • Data Vault focuses on long-term historical data storage

    • It consists of three main components: Hubs, Links, and Satellites

    • Hubs represent business entities, Links represent relationships between entities, and Satellites store attributes of entities

    • Data Vault allows for easy scalability and adaptability to changing business requ

  • Answered by AI
  • Q2. What is lambda architecture
  • Ans. 

    Lambda architecture is a data processing architecture designed to handle massive quantities of data by using both batch and stream processing methods.

    • Combines batch processing layer, speed layer, and serving layer

    • Batch layer processes historical data in large batches

    • Speed layer processes real-time data

    • Serving layer merges results from batch and speed layers for querying

    • Example: Apache Hadoop for batch processing, Apach

  • Answered by AI
Round 3 - HR 

(1 Question)

  • Q1. Whether have onsite exposure
  • Ans. 

    Yes, I have onsite exposure in previous roles.

    • I have worked onsite at various client locations to gather requirements and implement solutions.

    • I have experience collaborating with cross-functional teams in person.

    • I have conducted onsite training sessions for end users on data architecture best practices.

    • I have participated in onsite data migration projects.

    • I have worked onsite to troubleshoot and resolve data-related is

  • Answered by AI

Skills evaluated in this interview

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
No response

I applied via Approached by Company and was interviewed in Dec 2023. There was 1 interview round.

Round 1 - Technical 

(2 Questions)

  • Q1. What are 7 layers in Azure Data Factory to do the pipelining to accept data from on-prem and to complete the process to push processed data to Azure Cloud
  • Ans. 

    The 7 layers in Azure Data Factory for pipelining data from on-premises to Azure Cloud

    • 1. Ingestion Layer: Collects data from various sources such as on-premises databases, cloud storage, or IoT devices.

    • 2. Storage Layer: Stores the ingested data in a data lake or data warehouse for processing.

    • 3. Batch Layer: Processes data in batches using technologies like Azure Databricks or HDInsight.

    • 4. Stream Layer: Processes real-t...

  • Answered by AI
  • Q2. What are the steps to convert normal file to flat file in Python
  • Ans. 

    To convert a normal file to a flat file in Python, you can read the file line by line and write the data to a new file with a delimiter.

    • Open the normal file in read mode

    • Read the file line by line

    • Split the data based on the delimiter (if applicable)

    • Write the data to a new file with a delimiter

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare yourself on actual tools.
You should have practical experience to defend on the questions asked.

Skills evaluated in this interview

Data Architect Interview Questions Asked at Other Companies

asked in TCS
Q1. What are the various data warehousing techniques used, and can yo ... read more
Q2. How will you handle 1:M and M:M relationship in data modeling?
Q3. What is database table versioning (this is same as maintaining hi ... read more
asked in LTIMindtree
Q4. What are 7 layers in Azure Data Factory to do the pipelining to a ... read more
asked in UST
Q5. Whats makes you client site like Adobe to work for?

Interview questions from similar companies

I applied via Campus Placement and was interviewed before Jul 2021. There were 3 interview rounds.

Round 1 - Aptitude Test 

In this round we have aptitude plus coding mcq questions

Round 2 - Coding Test 

Here we have to write full fledge code 2 questions were there and are easy

Round 3 - HR 

(1 Question)

  • Q1. Here we have hr plus technical interview

Interview Preparation Tips

Interview preparation tips for other job seekers - Keep working hard and the placement round is easy overall

I applied via Campus Placement and was interviewed before Jan 2021. There were 4 interview rounds.

Interview Questionnaire 

3 Questions

  • Q1. Describe your projects?
  • Q2. What are the technologies you have worked on?
  • Ans. 

    I have worked on various technologies including Hadoop, Spark, SQL, Python, and AWS.

    • Experience with Hadoop and Spark for big data processing

    • Proficient in SQL for data querying and manipulation

    • Skilled in Python for data analysis and scripting

    • Familiarity with AWS services such as S3, EC2, and EMR

    • Knowledge of data warehousing and ETL processes

  • Answered by AI
  • Q3. Behavioral Questions

Interview Preparation Tips

Interview preparation tips for other job seekers - Be confident and prepare your resume well.

I applied via Walk-in and was interviewed before Feb 2020. There was 1 interview round.

Interview Questionnaire 

1 Question

  • Q1. Interview mainly asked about spark architecture.

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare well with the basic

I applied via Referral and was interviewed before Jun 2021. There were 2 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 Resume tips
Round 2 - Technical 

(3 Questions)

  • Q1. SQL based scenario mostly windows functions
  • Q2. Basic data warehouse concepts
  • Q3. Basic ETL and data modelling issues

Interview Preparation Tips

Topics to prepare for Accenture Data Engineer interview:
  • ETL
  • SQL
  • Data Warehousing
  • Data Modeling
  • Python
Interview preparation tips for other job seekers - Mostly they asked about SQL, mostly windows functions.
I have work experience on talend ETL they asked basic concepts of ETL, Data warehouse and data modelling.
Basic questions about

Interview Questionnaire 

1 Question

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

    Spark has a master-slave architecture with a cluster manager and worker nodes.

    • Spark has a driver program that communicates with a cluster manager to allocate resources and schedule tasks.

    • The cluster manager can be standalone, Mesos, or YARN.

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

    • Spark can also utilize external data sources like Hadoop Distributed File System (HDFS) or Amazon S3.

    • Spark supports va...

  • Answered by AI

Skills evaluated in this interview

Interview experience
3
Average
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

I applied via Naukri.com

Round 1 - Technical 

(2 Questions)

  • Q1. Aws sevices you have worked on
  • Ans. 

    I have worked on various AWS services including S3, EC2, Lambda, Glue, and Redshift.

    • S3 - Used for storing and retrieving data

    • EC2 - Used for running virtual servers

    • Lambda - Used for serverless computing

    • Glue - Used for ETL (Extract, Transform, Load) processes

    • Redshift - Used for data warehousing and analytics

  • Answered by AI
  • Q2. Question on python list and dictionary
Round 2 - Technical 

(1 Question)

  • Q1. Questions on project and skillset

Interview Preparation Tips

Interview preparation tips for other job seekers - 3 rounds basically asked in your resume. Questions matching skillset and project are asked

Skills evaluated in this interview

Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
Not Selected

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

Round 1 - One-on-one 

(4 Questions)

  • Q1. Lazy evaluation narrow wide tranform data brick utlity functions
  • Q2. Dag,edges vertices
  • Q3. Spark architecture
  • Q4. Memory allocation
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - One-on-one 

(1 Question)

  • Q1. 1. Write SQL code.for ranking based on salary 2. Pyspark code to remove duplicates 3. Power bi question to add filter
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LTIMindtree Interview FAQs

How many rounds are there in LTIMindtree Data Architect interview?
LTIMindtree interview process usually has 2 rounds. The most common rounds in the LTIMindtree interview process are Technical and HR.
How to prepare for LTIMindtree Data Architect 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 Cloud, Azure, Data Warehousing, Deployment and Infrastructure.
What are the top questions asked in LTIMindtree Data Architect interview?

Some of the top questions asked at the LTIMindtree Data Architect interview -

  1. What are 7 layers in Azure Data Factory to do the pipelining to accept data fro...read more
  2. What are the steps to convert normal file to flat file in Pyt...read more
  3. what is lambda architect...read more

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LTIMindtree Data Architect Interview Process

based on 2 interviews

Interview experience

4
  
Good
View more

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LTIMindtree Data Architect Salary
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₹17.5 L/yr - ₹51 L/yr
5% more than the average Data Architect Salary in India
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