🚨 SQL Interview Prep Kit 🚨


1️⃣ Aggregations
2️⃣ Window Functions
3️⃣ Set Operators
4️⃣ Indexing for Performance
5️⃣ SQL for Analytics

🎯 Perfect for quick revision before interviews or weekend practice!


#SQL #InterviewPrep #DataEngineering #SQLJunction

🚀 SQL Interview Trick You Must Know!
Just dropped a brand new video 🎥

👉 Problem: Forward fill NULL values with the last non-null value in a SQL table.
🧠 Covered: A smart use of FIRST_VALUE() and logic building that actually makes sense!

If you're preparing for SQL/Data Engineering interviews, this is the kind of trick that separates good from great 👏
Don’t miss this one!

📺 Watch now: https://youtu.be/sBcMQfyb4eU?si=xPgvTcMOdSvAudSx

#SQL #InterviewPrep #DataEngineering #SQLTricks

Hey folks 👋

I just created a clean and simple SQL cheat sheet — perfect for quick revision before interviews or while working on projects.

It covers:
🔸 DDL / DML / DCL / TCL
🔸 All types of Joins
🔸 Common Window Functions
🔸 Aggregate functions



🖼️ Check out the full image in the post 👆
📌 Save it for your reference
📤 Share it with someone learning SQL

— Aditya | SQL Junction
#SQL #SQLCheatSheet #DataEngineering #LearningSQL #SQLJunction

🧠 This complex SQL question from Google looked simple… until I actually started solving it.
Let’s just say — a plain JOIN wasn’t enough. 😉

I used a mix of aggregates + window functions to crack it — and the approach might surprise you.

🎥 https://youtu.be/Qvudg-uYwk0?si=IQnB_HofAvXg21oy

#SQL #InterviewPrep #SQLInterview #DataEngineering

#JobAlert #JobOpening
One of my friends in looking for Snowflake Dbt Airflow Data Engineer for Pune and Ahmedabad location
I have put the JD ,if you are looking to switch

Do reach out to me on linkedin
linkedin.com/in/adityabansal095

#DataEngineering #DataEngineerJob
#SQL #CareerOpportunity

I am hiring you as a Snowflake data engineer in 2025, if you know all these concepts.

From ingestion 📥 to transformation 🔄 to delivery 📊 — everything just flows seamlessly.

If you’re looking to learn Snowflake step by step, here’s a great Coursera course I recommend.
imp.i384100.net/snowflake_data

#SQL #Snowflake #DataEngineering #ETL

😲 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

🚀 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

🚀 New SQL Hard Challenge is LIVE!

Today’s problem looks simple… until you try it 😅
You’re given a table of products and categories — and your task is to swap records inside each category using SQL window functions.

Most people get stuck on the logic 👀
Can YOU figure out the right approach before watching the solution?

🎥 Watch the full video here:
👉 DELOITTE HARD SQL Interview Question in Hindi | Swap records Inversely

https://youtu.be/jOrTXXleDcg

If you’re preparing for SQL interviews or just love brain-teasing SQL problems, this challenge is for you 🔥

#SQL #SQLChallenge #DataEngineering #SQLInterview #PracticeSQL

🎯 New SQL Interview Question on YouTube!

A real Deloitte Interview Question that tests: • Window functions • Logical thinking under pressure • Your ability to connect dates correctly 📅⚙️

DELOITTE HARD SQL Interview Question in Hindi | Find Start and End Dates for Consecutive rows
https://youtu.be/ZPcV0OmSaIo

Most candidates struggle here… Can YOU solve it? 🤔
Watch now 👇
🔥
#SQL #InterviewPrep #DataEngineering #LearnSQL #SQLServer #Programming #SQLPractice #TechInterview #YouTubeChannel #SQLCommunity #SQLJunction #AdityaBansal

FAANG SQL Challenge: Can you solve "The Delimiter Trap"? 🧩

I just dropped a new breakdown of a classic interview problem that trips up even Senior Data Engineers.

The Task: Extract and calculate reward points from a single "messy" column (e.g., `'MM:CI:CD'`).

Why you should watch:
✅ Learn the cleanest way to use STRING_SPLIT.
✅ Master Conditional Aggregation (no more spaghetti code!).
✅ Avoid the #1 over-engineering mistake candidates make in FAANG interviews.

Stop struggling with messy data—master the logic in 5 minutes.

Watch the full solution here:
👇👇👇
https://youtu.be/Pg5F8_ViXE8

Which one is faster for this—`STRING_SPLIT` or CROSS APPLY? Let me know in the YouTube comments! 🚀

#SQL #InterviewPrep #DataEngineering #SQLJunction #SQLInterview

Hey Data Engineers

One individual from this community just had an Snowflake DBT interview with TCS,these are the main questions asked into him

Snowflake + dbt interview questions asked at TCS 👇

These are not beginner-level questions — they test real production understanding.

• Difference between Snowpipe vs COPY INTO
• Can you clone a subset of a table in Snowflake?
• Track column value changes (Apple → Orange) using Streams + MERGE
• Types of views in Snowflake and their use cases
• What is CLUSTER BY and how many columns should be used?

• Is a Stream a database object in Snowflake?
•How do you register a source in dbt?
• Difference between external table and managed tables in snowflake?

https://www.linkedin.com/posts/adityabansal095_a-friend-of-mine-recently-interviewed-at-activity-7420836271784321024-WuGJ

If you can confidently answer these,
you’re already ahead of most candidates.

More Snowflake & dbt interview content coming soon 🚀

#Snowflake #DBT #DataEngineering #SQLInterviews #TCS #Analytics #CareerGrowth

🧠 Amazon SQL Interview Challenge
This is an interesting challenge ,please take a look

Ever tried applying Pythagoras theorem in SQL? 😄

You’re given triangle sides stored row-wise and your task is to identify which CombinationID forms a right-angled triangle.

📐 Rule to apply:
H² = P² + B² (longest side matters!)



If this showed up in an interview, how would you approach it?

https://www.linkedin.com/posts/adityabansal095_sql-amazon-amazoninterview-activity-7422150064292282368-fT9O

#SQL #SQLInterview #AmazonInterview #DataEngineering #Analytics #SQLChallenge

🚀 Essential SQL Commands Every Data Professional Should Know

Whether you’re preparing for SQL interviews or working with databases daily, these commands form the backbone of SQL.

Here’s a quick refresher 👇

🔹 SELECT – Retrieve data from a table
🔹 INSERT – Add new records into a table
🔹 UPDATE – Modify existing data
🔹 DELETE – Remove specific records

📦 Database Structure

🔹 CREATE – Create new database objects (tables, databases)
🔹 ALTER – Modify the structure of an existing object
🔹 DROP – Delete an entire table or database

📊 Filtering & Analysis

🔹 WHERE – Filter records based on conditions
🔹 GROUP BY – Group rows with similar values
🔹 HAVING – Filter aggregated results

🔗 Working with Multiple Tables

🔹 JOIN – Combine data from multiple tables

⚡ Performance

🔹 INDEX – Speeds up data retrieval in large tables

📌 Tip:
Mastering these fundamentals makes solving complex SQL problems much easier.

🔥 Try this today:
Pick one command and write a small query to practice it.

#SQL #LearnSQL #DataEngineering #DataAnalytics

🚨 Quick SQL Reality Check

Most developers think:

COUNT(*) = COUNT(Column)

But that’s not always true 👀

A single NULL value can completely change the result.

I recorded a quick 30-second Short explaining the difference with a simple example.

🎥 Watch here:
👉 [Paste YouTube Shorts Link]

Trust me, this is one concept worth remembering for SQL interviews and real-world projects.

Or, if you want something more aggressive:

⚠️ SQL Interview Trap

What will these return?

COUNT(*)

COUNT(Salary)

Same answer? 🤔

Most people get this wrong because of NULL values.

I explained it in a quick YouTube Short👇

🎥 Watch Now:
👉
https://youtube.com/shorts/1rHHZmMHx6E?feature=share

Did you know the answer before watching? 😏

🔥 New YouTube Video Alert

Can You Solve This Deloitte SQL Interview Question?

You’re given a products table where the category is available only for the first product, while the following rows contain NULL.

Beverages → Coca Cola
NULL → Pepsi
NULL → Sprite
NULL → Fanta

Snacks → Lays
NULL → Doritos
NULL → Kurkure

🎯 Challenge:
How would you fill those NULL category values with the correct category?

💡 Hint: Think about Window Functions 👀

This is a great SQL problem to test your understanding of NULL handling + data transformation.

👇 What would you use?

🅰️ LAG()
🅱️ LEAD()
🅲️ LAST_VALUE()
🅳️ ROW_NUMBER()

🎬 Solution video
Fill Missing Categories in SQL | Hard Deloitte Interview Question
https://youtu.be/IX9NBK3Yx-M
🚀

Check it out now and let me know in comments ,What did you learn?

#SQL #SQLInterview #Deloitte #SQLChallenge #DataEngineering #Snowflake

🚀 Azure and ETL data engineering roles worth exploring

If you are working with SQL, Spark, Airflow, Databricks, or cloud pipelines, these roles align well with practical data engineering workflows.

💼 Role: Azure Data Engineer
🏢 Company: Tata Consultancy Services
📍 Location: Bengaluru
🌎 Work mode: onsite
✨ Why it is worth checking: Strong Azure stack with ADF, Databricks, Synapse, PySpark, ETL/ELT, and data warehousing exposure.
🔗 https://artha.link/@adityabansal095/jobs/azure-data-engineer-tata-consultancy-bengaluru-abb0b3eb

💼 Role: Senior Data Engineer
🏢 Company: Satwic
📍 Location: India
🌎 Work mode: remote
✨ Why it is worth checking: Good fit for engineers working on Azure migrations, Synapse, Databricks, Spark, and large-scale data pipelines.
🔗 https://artha.link/@adityabansal095/jobs/senior-data-engineer-satwic-inc-india-8610633d

💼 Role: Data Engineer
🏢 Company: TIGI HR
📍 Location: Gurugram
🌎 Work mode: remote
✨ Why it is worth checking: Covers Airflow, ADF, SQL, Python, ETL workflows, and data warehouse projects.
🔗 https://artha.link/@adityabansal095/jobs/data-engineer-tigi-hr-gurugram-e0612e8f

Share with someone preparing for their next data engineering move.

#DataEngineering #AzureDataEngineer #SQL #Databricks #ETL #Airflow #CloudDataEngineering

🚀 Data engineering roles worth checking for SQL learners



💼 Role: Data Engineer
🏢 Company: EXL
📍 Location: India, IN
🌎 Work mode: remote
✨ Why it is worth checking: Strong exposure to AWS Glue, Redshift, Athena, PySpark, ETL/ELT pipelines, and data warehousing concepts.
🔗 https://artha.link/@adityabansal095/jobs/data-engineer-exl-india-ab6b2cd2

💼 Role: Data Engineer
🏢 Company: Newtap Finance
📍 Location: Bengaluru, Karnataka, IN
🌎 Work mode: onsite
✨ Why it is worth checking: Hands-on work with Airflow, EMR, Spark, Athena, CDC ingestion, and lakehouse architecture.
🔗 https://artha.link/@adityabansal095/jobs/data-engineer-newtap-finance-bengaluru-36d7cd70

💼 Role: Data Engineer – Analytics & Aws
🏢 Company: Health Catalyst
📍 Location: Hyderabad, Telangana, IN
🌎 Work mode: remote
✨ Why it is worth checking: Good mix of data engineering and analytics using AWS Glue, Snowflake, SQL, Python, Kafka, and Airflow.
🔗 https://artha.link/@adityabansal095/jobs/data-engineer-analytics-aws-health-catalyst-hyderabad-14f9084d

Save this for later or share with someone preparing for data engineering interviews.

#DataEngineering #SQL #AWS #Snowflake #Airflow #ETL #Python #Jobs #JobAlert

🚀 Data engineering roles with strong cloud stack exposure

If you are working on SQL, ETL pipelines, Databricks, Snowflake, or PySpark projects, these roles are worth checking.

💼 Role: Aws Data Engineer
🏢 Company: Tata Consultancy Services
📍 Location: Bengaluru, Noida, Gandhi Nagar, Pune, Chennai
✨ Why it is worth checking: Strong focus on Databricks on AWS, Delta Lake, Structured Streaming, CDC, and Medallion Architecture.
🔗 https://artha.link/@adityabansal095/jobs/aws-data-engineer-tata-consultancy-gandhinagar-92feef28

💼 Role: Azure Data Engineer
🏢 Company: Recro
📍 Location: Hyderabad, Bangalore, Pune
🌎 Work mode: hybrid
✨ Why it is worth checking: Good match if you are building Azure data pipelines with ADF, SQL, Python, PySpark, and Databricks.
🔗 https://artha.link/@adityabansal095/jobs/azure-data-engineer-recro-pune-district-75c72d64

💼 Role: Azure Data Engineer
🏢 Company: EXL
📍 Location: Noida, Gurgaon, Pune, Bangalore, Hyderabad, Chennai
🌎 Work mode: remote
✨ Why it is worth checking: Useful for engineers working with ADF, DBT, Snowflake, and ETL/ELT workflows.
🔗 https://artha.link/@adityabansal095/jobs/azure-data-engineer-exl-noida-6c18eb62

Save this for later or send it to someone job hunting.

#DataEngineering #SQL #Databricks #Snowflake #AzureDataFactory #PySpark #ETL

📊 Data engineering and BI roles worth exploring

If you are building SQL, ETL, analytics, or AI engineering skills, these opportunities align well with real-world data workflows and production systems.

💼 Role: Lead Ai Engineer (agentic Systems)
🏢 Company: S&P Global
📍 Location: Haryana, Gurugram, IN
✨ Why it is worth checking: Strong mix of Python, ETL, Databricks, Snowflake, Kubernetes, LangGraph, and production-grade AI systems.
🔗 https://artha.link/@adityabansal095/jobs/lead-ai-engineer-agentic-systems-s-p-global-haryana-402f311a

💼 Role: Data Analyst / Engineer
🏢 Company: Kyndryl
📍 Location: Karnataka, Bangalore, IN
✨ Why it is worth checking: Good fit if you work with SQL, Python, Snowflake, ETL/ELT, ODI, Power BI, and enterprise data warehousing.
🔗 https://artha.link/@adityabansal095/jobs/data-analyst-engineer-kyndryl-karnataka-42df3c00

💼 Role: Business Intelligence Engineer, Aop - Row Apex
🏢 Company: ASSPL - Karnataka
📍 Location: Hyderabad, Telangana, IN
✨ Why it is worth checking: Covers BI reporting, SQL, Python, ETL pipelines, Tableau/Quicksight, and analytics frameworks at scale.
🔗 https://artha.link/@adityabansal095/jobs/business-intelligence-engineer-aop-row-asspl-karnataka-hyderabad-28f3112f

Save this for later or share with someone preparing for data engineering interviews.

#DataEngineering #SQL #ETL #BusinessIntelligence #Snowflake #Python #Analytics