Upload Button Icon Add office photos
Engaged Employer

i

This company page is being actively managed by LTIMindtree Team. If you also belong to the team, you can get access from here

LTIMindtree Verified Tick

Compare button icon Compare button icon Compare
3.8

based on 20.3k Reviews

Filter interviews by

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
asked in LTIMindtree
Q2. What are 7 layers in Azure Data Factory to do the pipelining to a ... read more
asked in UST
Q3. Whats makes you client site like Adobe to work for?
asked in LTIMindtree
Q4. What are the steps to convert normal file to flat file in Python
Q5. How to active different dates for different analysis in power bi ... read more

Interview questions from similar companies

Interview experience
5
Excellent
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Recruitment Consulltant and was interviewed in Nov 2024. There were 2 interview rounds.

Round 1 - One-on-one 

(2 Questions)

  • Q1. What are the various data warehousing techniques used, and can you explain them in detail?
  • Ans. 

    Various data warehousing techniques include dimensional modeling, star schema, snowflake schema, and data vault.

    • Dimensional modeling involves organizing data into facts and dimensions to facilitate easy querying and analysis.

    • Star schema is a type of dimensional modeling where a central fact table is connected to multiple dimension tables.

    • Snowflake schema is an extension of star schema where dimension tables are normali...

  • Answered by AI
  • Q2. How has your analytics work contributed to the organization?
  • Ans. 

    My analytics work has helped the organization make data-driven decisions, improve operational efficiency, and identify new opportunities for growth.

    • Developed data models and algorithms to optimize business processes

    • Generated insights from large datasets to drive strategic decision-making

    • Identified trends and patterns to improve customer experience and retention

    • Implemented data governance policies to ensure data quality

  • Answered by AI
Round 2 - Psychometric Test 

(2 Questions)

  • Q1. How would you respond in various situations?
  • Ans. 

    I would respond in various situations by remaining calm, assessing the situation, and providing a thoughtful and strategic solution.

    • Remain calm and composed

    • Assess the situation thoroughly

    • Provide a thoughtful and strategic solution

    • Communicate effectively with all parties involved

  • Answered by AI
  • Q2. What is more important career , team
  • Ans. 

    Both career and team are important, but ultimately career growth should be prioritized.

    • Career growth is essential for personal development and achieving professional goals.

    • A strong team can support career growth by providing mentorship, collaboration, and opportunities for learning.

    • Balancing career and team dynamics is key to long-term success in any role.

  • Answered by AI

Interview Preparation Tips

Topics to prepare for TCS Data Architect interview:
  • Data Architecture
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 Jun 2024. There were 3 interview rounds.

Round 1 - Technical 

(3 Questions)

  • Q1. Questions related to the current and past projects.
  • Q2. Aws related questions.
  • Q3. Data warehousing basics
Round 2 - Technical 

(2 Questions)

  • Q1. Explain about the roles and responsibilities.
  • Q2. Discussion about the role in Genpact.
Round 3 - HR 

(2 Questions)

  • Q1. Asked about expectated salary
  • Q2. Why are you switching

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare about the points given in your resume and the work you have done.
Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. Asked about data tools other than AWS services
  • Q2. When did you use HUDI and Iceberg
  • Ans. 

    I have used HUDI and Iceberg in my previous project for managing large-scale data lakes efficiently.

    • Implemented HUDI for incremental data ingestion and managing large datasets in real-time

    • Utilized Iceberg for efficient table management and data versioning

    • Integrated HUDI and Iceberg with Apache Spark for processing and querying data

  • Answered by AI

Skills evaluated in this interview

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

I applied via Recruitment Consulltant and was interviewed in May 2024. There were 2 interview rounds.

Round 1 - One-on-one 

(2 Questions)

  • Q1. Data Modeling Concepts, SQL Query
  • Q2. Data Governance, Data Lineage, ETL process,
Round 2 - Coding Test 

SQL Scripts to write and also also asked to design an data model of my choice in Telecom Domain

Interview experience
1
Bad
Difficulty level
-
Process Duration
Less than 2 weeks
Result
-

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

Round 1 - Technical 

(2 Questions)

  • Q1. Interview is not happend
  • Q2. Interview is no not happend

Interview Preparation Tips

Interview preparation tips for other job seekers - Interview is not happened. Recruiter ask me, not to join, due to your profile is not matched.
Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(1 Question)

  • Q1. Sql questions based on fundamental
Interview experience
3
Average
Difficulty level
Moderate
Process Duration
4-6 weeks
Result
Selected Selected

I was interviewed before Jan 2024.

Round 1 - Technical 

(1 Question)

  • Q1. Questions are related to data modelling, data warehousing, big data

I applied via Company Website and was interviewed before Aug 2021. There was 1 interview round.

Round 1 - Technical 

(2 Questions)

  • Q1. Tell us about you last project
  • Q2. Provide detail about you project

Interview Preparation Tips

Interview preparation tips for other job seekers - Simple project related question asked with some scenario based questions.

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

Tell us how to improve this page.

LTIMindtree Data Architect Interview Process

based on 2 interviews

Interview experience

4
  
Good
View more
LTIMindtree Data Architect Salary
based on 18 salaries
₹17.5 L/yr - ₹51 L/yr
8% more than the average Data Architect Salary in India
View more details

LTIMindtree Data Architect Reviews and Ratings

based on 4 reviews

2.8/5

Rating in categories

2.8

Skill development

3.7

Work-life balance

3.8

Salary

2.9

Job security

2.8

Company culture

2.8

Promotions

2.8

Work satisfaction

Explore 4 Reviews and Ratings
Senior Software Engineer
21.3k salaries
unlock blur

₹4.7 L/yr - ₹18.6 L/yr

Software Engineer
16.2k salaries
unlock blur

₹2 L/yr - ₹10 L/yr

Module Lead
6.7k salaries
unlock blur

₹7 L/yr - ₹25 L/yr

Technical Lead
6.5k salaries
unlock blur

₹9.3 L/yr - ₹37 L/yr

Senior Engineer
4.4k salaries
unlock blur

₹4.2 L/yr - ₹16.3 L/yr

Explore more salaries
Compare LTIMindtree with

Cognizant

3.8
Compare

Capgemini

3.7
Compare

Accenture

3.9
Compare

TCS

3.7
Compare
Did you find this page helpful?
Yes No
write
Share an Interview