Top LTIMindtree SQL Interview Questions | Data Engineering Career Guide 2024 | Data Engineering

Master LTIMindtree SQL Interview Questions and Boost Your Data Engineering Career in 2024!
Are you preparing for a data engineering interview at LTIMindtree? You've come to the right place! This comprehensive guide covers essential SQL interview questions and provides in-depth answers to help you succeed in your upcoming interview. Whether you're a seasoned professional or just starting your career in data engineering, this video is packed with valuable insights to give you a competitive edge.
🔍 What You'll Learn:
Critical SQL concepts for LTIMindtree interviews
Real-world data engineering scenarios and solutions
Expert tips for acing your technical interview
Insider knowledge on LTIMindtree's interview process
Hands-on practice with sample SQL queries
📊 Sample SQL Query Breakdown:
Let's dive into a practical example that you might encounter in your LTIMindtree interview:
CREATE TABLE emp(
name varchar(50),
dept varchar(50),
salary varchar(50))
INSERT INTO emp VALUES
('Virat','IT',8000),
('Rohit','IT',7500),
('Pant','Finance',7000),
('Rahul','Finance',6000),
('Rinku','HR',4000),
('Rinku','HR',4000),
('Bumrah','Admin',7000),
('Shami','Admin',6000)
This table structure represents a common scenario in data engineering where you'll need to manipulate and analyze employee data. We'll explore various SQL queries and techniques to extract meaningful insights from this dataset.
🚀 Key Topics Covered:
Advanced SQL query optimization
Handling complex joins and subqueries
Aggregation and window functions
Data modeling best practices
Performance tuning for large datasets
Dealing with data inconsistencies and duplicates
💡 Interview Success Strategies:
Understand the interviewer's perspective
Showcase your problem-solving skills
Communicate your thought process effectively
Demonstrate your knowledge of data engineering principles
Highlight relevant projects and experiences
🔗 Additional Resources:
To further enhance your preparation, check out these playlists:
PySpark playlist : • PySpark and Databricks
Azure Datafactory playlist : • Azure Data Factory Tut...
PySpark RealTime Scenarios playlist : • PySpark Real Time Scen...
PySpark Interview Question : • PySpark Interview Series
Scenario Based Interview Question : • Scenario Based Intervi...
Unit Testing in PySpark : • UnitTesting PySpark
🌟 Why This Video Stands Out:
Up-to-date content reflecting LTIMindtree's latest interview trends
In-depth explanations of complex SQL concepts
Real-world examples from experienced data engineers
Interactive coding demonstrations
Tips for both technical and soft skills required for success
👨‍💻 About the Instructor:
As an experienced data engineer and interview coach, I've helped countless professionals land their dream jobs at top tech companies like LTIMindtree. My practical approach and industry insights will give you the confidence to excel in your interview.
🔔 Stay Connected:
Don't miss out on future interview tips and data engineering content! Subscribe to this channel and hit the notification bell to stay updated.
GitHub Repository: github.com/Pri...
LinkedIn Profile: / pritam-saha-060516139
Telegram Channel: t.me/Cognitive...
WhatsApp Channel: whatsapp.com/c...
Instagram: @pritamsaha627
📧 Need Personalized Guidance?
For one-on-one coaching or specific interview questions, feel free to reach out:
Email: [e-mail]
Topmate: topmate.io/pri...
Remember, success in data engineering interviews comes from consistent practice and a deep understanding of core concepts. This video is your first step towards acing your LTIMindtree interview and launching your dream career in data engineering.
Like, share, and subscribe for more valuable content on data engineering, SQL, and tech interviews. Your support motivates us to create high-quality, informative videos to help you succeed in your career journey.
#SQLInterview #DataEngineering #LTIMindtree #TechCareers #InterviewPrep #DatabaseManagement #BigData #JobSearch2024 #TechJobs #codinginterview #cognitivecoders

[@siddu1036]

For duplicates,
With CTE
(Select *, row_number() over (partition by dept,name,salary order by salary) as rnk from emp)
SELECT * from CTE where rnk = 1
Will get only the records with out duplicate

[@arsalanansari5066]

To solve Question 1 use the following query:
select name,dept,salary from emp e
where salary = (select max(salary)
from emp
where dept = e.dept
)
order by dept