Hello Data Engineers

I am glad to announce that I was able to fill this position
from this channel.

When I started this channel, I just thought that this channel was about data community and knowledge.

But in the recent months,I have been able to hire multiple talented people from this channel.

I want to thank you all for being a part of our data community

Hey engineers
#jobalert #jobopportunity #dataengineer

Urgent job opportunity

I know the founder of this company ,please let me know if anyone is interested

https://www.linkedin.com/feed/update/urn:li:activity:7392504066435776513


Ping me over linkedin
Linkedin.com/in/adityabansal095

Hey Folks
#jobalert #jobopportunity #jobopening


https://www.linkedin.com/posts/aparna-anumandla-220408244_greetings-from-innova-solutions-were-activity-7404481005354442752-aZtG

This is my previous organisation
If anybody is interested ,can get you referred
Please ping me on linkedin

🎯 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

🚨 Paytm Data Engineer Interview Pattern (4+ YOE | ~20 LPA)

If you’re preparing for a mid–senior Data Engineer role, Paytm keeps testing the same core patterns again and again.

They focus heavily on: • Advanced SQL (window functions, latest record logic) • Spark & PySpark performance • Data skew & slow job debugging • Idempotent and incremental pipelines • Real-world data quality & schema drift problems
These aren’t trick questions — they test how you think in production scenarios.
🔁 Share it with someone preparing for DE interviews 💪 Prep smart, not random

Transient table do not have any fail safe period in Snowflake for cost effective ness ,they are used to store less critical data that does not require data backup from
Fail safe point of view

So the correct answer is Option C

🎉 Happy New Year, SQL Family! 🎉
As we wrapped up 2025, I just want to say thank you 🙏
From learning SQL basics to discussing real interview and production scenarios — this journey has been amazing because of you.

Your reads, reactions, and discussions make this channel what it is 💙

In 2026, expect:
🚀 More SQL interview questions
🧠 Deeper data engineering concepts
⚙️ Practical, real-world patterns
Let’s keep learning, sharing, and growing together.
Wishing you all a year full of growth and success! ✨

🚀 SQL SET Operators: The Quick Guide 🚀
Stop trying to solve everything with JOINs! If you need to combine data vertically, these are your best friends:
🔹 UNION Combines results and removes duplicates. Perfect for a clean, unique list. 🧹
🔹 UNION ALL Combines everything, including duplicates. It's much faster because the DB doesn't have to scan for duplicates! ⚡️
🔹 INTERSECT Finds the common ground. Only returns rows that exist in both datasets. 🤝
🔹 EXCEPT / MINUS The "difference" finder. Shows what's in your first query but NOT in the second. 🚫

💡 Pro-Tip for Interviews: Always remember: For SET operators to work, your queries must have the same number of columns and matching data types!

https://www.linkedin.com/posts/adityabansal095_i-used-to-think-sql-joins-were-the-only-way-share-7414127739210797057-plAi


#SQL #DataScience #Database #CodingTips #DataAnalytics #InterviewPrep #TechSkills #SQLServer

The correct answer is Union all
This is a really common interview question just to check basics
Union all is faster that union because it does not sort or deduplicate data.📈

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

🚨 BIG SQL DROP INCOMING 🚨

I’m working on a 3-HOUR SQL + Data Analysis marathon where we solve 50+ real SQL questions on one powerful dataset — end to end, no skips, no shortcuts 💪

If you want to:
🔥 level up SQL thinking
🔥 crack interviews with confidence
🔥 understand real-world data analysis

This video is for YOU.

Dropping soon on YouTube 👀


#SQLPractice #SQL #DataAnalyst #dataengineer

🚀 It’s LIVE! The SQL Marathon is finally out 🔥

I’ve published a 3-hour SQL + Data Analytics video where I solve 50 real SQL questions using one YouTube Analytics dataset — step by step.

If you’re preparing for:
• SQL interviews
• Data Engineering / Analytics roles
• Real-world SQL problem solving

This video will seriously level you up 💪

👉 Watch here: https://youtu.be/BmhKUI-PGrc

Let me know in the comments — how many questions could you solve on your own? 😄
— SQL Junction 📊

#DataAnalyst #SQLPractice #SQL #YouTube #SQLInterview #DataAnalytics

Career growth rarely comes from one big move.
It comes from showing up every day — even when no one is watching.

• Learn when it’s boring
• Practice when progress feels slow
• Stay consistent when results aren’t visible

Perseverance compounds quietly.

If you can stay disciplined for long enough,
your career will look very different by the end of 2026.

No hacks.
No shortcuts.
Just consistency.🔥

🚨 My FIRST YouTube Short is LIVE! 🚨

This one is about a simple SQL habit that can save you from serious data loss in production 👀

👉 Before you ever run a DELETE, make sure you’re doing this one thing.

🎥 Watch here:
👉 One DELETE mistake can destroy your data 😬 | SQL
https://youtube.com/shorts/6AK2S2Qv5kU

If you’ve ever worked with real databases, this is a must-watch.
Drop a 👍 or comment on YouTube if it helped you — it really supports the channel.

More real-world SQL Shorts coming soon 🔥

Happy long weekend to all 🔥🔥
Use this weekend to relax and upskill yourself

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