🔥 Struggling with SQL interview questions?

Most tutorials stop at basics… but interviews don’t.

That’s why I’ve created a 70-minute SQL Zero to Hero Project 🎥 where we go beyond syntax and solve real-world business problems using a full database.

Inside the video 👇
✅ Understand tables & relationships like in real companies
✅ Solve medium-to-hard SQL queries step by step
✅ Learn patterns that appear in actual interviews
✅ Build confidence to crack your next SQL round 💯
This isn’t theory.
This is hands-on SQL the way interviewers expect you to think.

👉 Watch here: https://youtu.be/-kUOMzZkA8o?si=qowUmyXyhNFAjd4_

🎯 Save this video & practice along — you’ll thank yourself in your next interview.

Hey folks
It took genuine time and brainstorming for me to create this mini project
I have discussed 5 questions in depth which are very relevant for interviews along with step by step explanations.

Let me know if you liked it.

#JobAlert #JobOpening
I received this message today from a recruiter



Dear Candidate,

We are seeking a highly skilled SQL Developer.

Job Description-

Job Title: SQL Developer
Location: Greater Noida/Pune
Experience: 6-10 Years
Shift- UK Shift

SQL DEVELOPER:
Design and implement relatacional database structures optimized for performance and scalability.
Develop and maintain complex SQL queries, stored procedures, triggers, and functions.
Optimize database performance through indexing, query tuning, and regular maintenance.
Ensure data integrity, consistency, and security across multiple environments.
Collaborate with cross-functional teams to integrate SQL databases with applications and reporting tools.
Develop and manage ETL (Extract, Transform, Load) processes for data ingestion and transformation.
Monitor and troubleshoot database performance issues.
Automate routine database tasks using scripts and tools.
Document database architecture, processes, and procedures for future reference.
Stay updated with the latest SQL best practices and database technologies.
Data Retrieval: SQL Developers must be able to query large and complex databases to extract relevant data for analysis or reporting.
Data Transformation: They often clean, join, and reshape data using SQL to prepare it for downstream processes like analytics or machine learning.
Performance Optimization: Writing queries that run efficiently is key, especially when dealing with big data or real-time systems.
Understanding of Database Schemas: Knowing how tables relate and how to navigate normalized or denormalized structures is essential.

Revert here with following information if you're interested-

#SQL #SQLServer

Ping me up on linkedin if anyone is interested
Will point you towards the recruiter

Thank you, Data Engineers

Our latest SQL Project video just crossed 1,000+ views in 4 days on YouTube! 🚀
Your support means a lot 🙏

This motivates me to keep creating more real-world SQL & Data Engineering content to help you learn and crack tough interviews. 💡

Stay tuned — more exciting content is on the way! 🔥

— Aditya Bansal

I am looking to collaborate with anyone who has given any recent Azure data engineering interview.
That can include Databricks, Azure Data Factory etc or other Azure Services.

I have planned something interesting, that will give you decent recognition and reach, please ping me up on linkedin if you want to be known.

🚀 Snowflake interviews are changing fast! It’s no longer just about basics like warehouses or time travel ⏳—today it’s about solving real-world challenges.

🔥 Some hot questions you should prepare for:
1️⃣ Challenges faced in migrating from SQL Server → Snowflake
2️⃣ External Functions & how they work
3️⃣ Cortex functions currently available
4️⃣ Step-by-step Git integration with Notebooks
5️⃣ Loading Parquet files from multiple folders dynamically
6️⃣ Removing duplicates: DISTINCT vs QUALIFY — which is better?
7️⃣ Designing pipelines with immediate data validation after S3 ingestion
8️⃣ Dynamic Tables vs Streams & Tasks for near real-time pipelines
9️⃣ Optimizing stored procs with 10 SQL statements (parallel execution)
🔟 What is Document AI in Snowflake?
✨ These are the kind of questions interviewers now ask to test design, optimization & problem-solving skills.

#JobOpening #jobalert
Hey Guys

One of my friends is hiring for Azure data engineer for Pune / Chennai location

This is a senior position,please check this post
I do have the recruiter’s contact number ,but will only share it with a serious candidate

https://www.linkedin.com/posts/nishikanth-k-8572b172_hiring-azuredatabricks-azuredatafactory-activity-7380267380939288576-C4Rl?utm_source=share&utm_medium=member_android&rcm=ACoAAA9ZfoMBQ16ZrqvV2_35vgEkPLDNpR-2wn0

You can also reach out to me over linkedin
If you need any assistance over above job opportunity

🚀 SQL Challenge #14 — The Lift Capacity Problem is LIVE!



You’re given two tables — LIFT and LIFT_PASSENGERS.
Multiple passengers can try to enter the same lift, but the total passenger weight cannot exceed the lift’s capacity.

Your task?
👉 Write an SQL query that returns a comma-separated list of passengers who can fit into each lift without exceeding capacity, ordered by their weight in ascending order.


In this video, I’ll walk you through my entire step-by-step solution in SQL Server, breaking down the logic clearly so you can learn, understand, and apply it in your own interviews 💼

🎥 Watch the full video here:
👉 https://youtu.be/8e-e1xYsgG0
https://youtu.be/8e-e1xYsgG0


💬 Drop your approach in the comments — let’s see how you solved it differently!
👥 Share this with your SQL buddies who love a good challenge.


#SQLChallenge #SQLServer #SQLQuery #SQLInterview #SQLPractice #SQLJunction #LearnSQL

#JobAlert
Hello Engineers

Snowflake DBT hiring is happening for Pune or Mumbai location in my network.


Please contact me on linkedin if you need a new job.
I will share the recruiter’s contact number.

Thank You
Will keep coming back with jobs here🙂🙂

Hello Data Engineers, one of my mentees interview experience for 4 years of experience

The candidate was offered 15LPA

🚀 Snowflake Interview Experience — LTIMindtree (Shortlisted)

Sharing the questions they asked and quick answers so you can prepare better 👇

1. How to ingest data from on-prem SQL DB to Snowflake?
Answer: Extract data using ADF/Python, land it in Blob/S3, create a stage, and load using COPY INTO. Simple flow: On-prem DB → Staging → Snowflake Stage → Table.

2. What is incremental load in Snowflake?
Answer: Load only new or changed rows using last_updated column, CDC, or MERGE command. Helps avoid full reloads.

3. Materialized Views – what and when?
Answer: Precomputed query results stored physically. Useful when the same heavy query is run often and data doesn’t change very fast.

4. How to move data from Azure Blob to Snowflake?
Answer: Create an external stage pointing to Blob and load data using COPY INTO. Stages act like temporary parking space for files.

These are only partial answers that I have added
Thanks

😲 99% of SQL learners struggle with this problem!
You get a Club table where each member earns rewards like:
MM, CI, CO (0.5 pts each) CD, CL, CM (1 pt each)

💥 Challenge: Calculate the total points scored by each club using SQL. Sounds simple? Wait till you try it. 😏
Most people miss the key logic 👀
Can you crack it before watching the solution?
🎥 Full breakdown + solution:
👉 SQL Challenge: Calculate Total Club Points | SQL Interview Question Explained
https://youtu.be/V-mMZ4hhhQE

#SQL #SQLChallenge #DataEngineering #SQLInterview #LearnSQL

🚀 How to Become a Better Data Engineer

You don’t become a better Data Engineer by memorizing tools. You grow by thinking like one.
Start doing this daily:
🔹 Understand why data flows the way it does 🔹 Break problems into clean, logical steps 🔹 Write SQL that’s simple, not “smart” 🔹 Learn one new thing every day — even 10 minutes counts 🔹 Build small projects that feel real, not theoretical 🔹 Read other people’s code (it teaches more than tutorials)
Consistency beats complexity. And the engineers who win aren’t the ones who know the most tools — they’re the ones who know how to solve problems calmly and clearly.
Keep going. You’re closer than you think 💪

🚀 Coming Soon: The Biggest SQL Practice Marathon!

I’m recording a full SQL session where we solve 50+ real queries using one powerful dataset — joins, windows, analytics, aggregates… everything.

If you’ve been wanting one video to level up your SQL for interviews + real projects — this is it 🔥

Stay tuned — this is going to be the ultimate SQL practice video💪
— SQL Junction 📊

🚀 Level up your SQL game!

I’ve created a YouTube playlist where I break down real SQL interview questions just like top companies ask.
From tricky joins to logic-based challenges… everything is covered in simple, clear explanations 🎯

Whether you’re preparing for interviews or just sharpening your skills, this playlist will help you upgrade fast 💡

Check it out here 👇 👉 https://youtube.com/playlist?list=PLU1HobJd_JCqjcZwUCc6s8avJutoIjyIF&si=pcJTwrke6No-SVyl

Let’s crack SQL interviews together! 🔥 #SQL #SQLInterviews #DataEngineering #LearnSQL