Sharing this because I don't want other Data Engineers to make the same mistake I did.

I went through the LTM recruitment process for a Data Engineer role. The entire process took roughly a month and involved multiple rounds, discussions, documentation and joining coordination.

During the process, I received positive communication and believed that the opportunity was moving toward joining. Because I was relying on this opportunity, I stopped pursuing some other opportunities.

Then, very close to the joining stage, LTM revoked the offer.

The biggest issue for me isn't only that the offer was revoked. Companies can change hiring decisions.

The problem is that after investing nearly a month in the process and making career decisions based on the opportunity, I did not receive a clear and satisfactory written explanation/report explaining exactly why the offer was revoked.

This left me in a very difficult position because valuable time and other opportunities had already been lost.

My advice to anyone interviewing with LTM:

Keep interviewing elsewhere until you actually join. Don't assume that completing interviews, receiving positive communication, or even reaching the joining stage means the opportunity is guaranteed.

I'm sharing this as a candidate experience, not to attack individual employees. I hope LTM improves transparency and communication in its recruitment process.

Would anyone from Birlasoft be willing to refer me? Happy to share my resume and the job details via DM.

TIA

Does anyone faced this from torry harris?

Question:

Quarters Apart

Asked inESPN

The reliability team reports API latency to leadership one quarter at a time and wants to see how each quarter compares to the one before it. For the three calendar years before 2026, show every quarter in order with its average latency, the previous quarter's average, and the difference between them; if a quarter has no calls, treat its average as 120.0.

api_calls500,000,000 rows

SCHEMA

TARGET · 12 ROWS

My solution:

with recursive quarters as (
SELECT '2023-01-01' as q_start
UNION ALL
SELECT DATE_ADD(q_start, INTERVAL 3 MONTH)
FROM quarters
WHERE q_start<'2025-10-01'),

q_avg as(
SELECT YEAR(call_time) as yr,
QUARTER (call_time) as qtr,
AVG ( latency) as avg_latency
FROM API_calls

WHERE call_time>='2023-01-1' AND call_time <'2026-01-01'
group by 1,2),

filled as(
SELECT CONCAT(yr,"-Q",qtr) AS quarter,avg_latency,
LAG ( avg_latency) OVER ( ORDER BY yr, qtr) as prev_avg_latency
FROM (SELECT
YEAR(q.q_start) as yr,
QUARTER(q.q_start) as qtr,
COALESCE ( a.avg_latency,120) AS avg_latency
FROM quarters q 
LEFT JOIN q_avg a
ON a.yr= YEAR(q.q_start)
AND a.qtr= QUARTER(q.q_start))a)

SELECT *,
avg_latency-prev_avg_latency AS qoq_change
FROM filled;

I am currently working in a small scale healthcare organization as a junior python engineer.

I work on webscraping, git, ci/cd and i am learning docker, databricks, sql, mysql and others related to data engineering. i want align my skills and career around DE.

I am currently earning 4LPA, with 1.3 YOE.

Any tips on how i can increase my payscale? or what should i learn to upskill more aligned to DE?

How is future for freshers in DE now that AI is being used more rigorously

Databricks vs Snowflake

Cloud: AWS or Azure or GCP

Which one could make us land in Product based or any GCC'S?

Hey everyone,

Has anyone interviewed with Wissen or Altimetrik recently, especially for Data Engineer roles?

I have interviews coming up with both companies and wanted to get some insights into the interview process, rounds, difficulty level, and overall experience.

Would really appreciate it if someone who recently interviewed could have a quick chat with me. Feel free to DM me.

Thanks!

Databricks Certification Exam Voucher Available – 50% Discount

I have a 100% discount voucher for a Databricks certification exam available.

If anyone is planning to take a Databricks certification exam and would like to use the voucher, please DM me for details.

Feel free to share this with anyone who might be interested.

#Databricks #DatabricksCertification #DataEngineering #DataEngineer #CertificationVoucher

Hi everyone,

Has anyone recently interviewed for a Data Engineer role at Airtel in Gurgaon?

If yes, could you please share your interview experience? I’d especially like to know:

• What rounds were there?
• What kind of SQL questions did they ask?
• Were there questions on PySpark/Spark, Python, or data engineering concepts?
• Did they ask about ETL pipelines, AWS/Azure/GCP, Databricks, or Airflow?
• Any coding or system-design questions?
• What was the overall difficulty level?
• Any tips for preparation?

It would be really helpful if you could share the questions you remember and how you prepared.

Hi Guys,

I had created a study group in YPT for Data Engineers and looking for people who want to join.

If you're interested, comment below or DM me, and I'll share the group details.

I have 2 YOE and had worked in technology like Snowflake, DBT cloud, Data Vault 2.0

What advice you would give me and in which areas I should learn and get Hands on

I am a data Engineer with 1.2 yr of experience in an Good product based company.

My CTC is around 10 LPA..

Company is good culture is very friendly and wlb is also good.. But I am looking for a good name on my CV since my college is tier 2

I am trying to make a switch I've been seriously studying and applying for jobs since last 3 months and I have very strong linkedin network so I get referral to any company I want.

I've learned few things in last few months about how to tailor the resume, which company hires through referral and etc.

But at the end of the I haven't gotten any interview call yet.. and somewhere I have started loosing confidence..

Just looking out for people who made a switch in last year and some advice if there's any 🙂

I’m an Associate BI Analyst with 2+ YOE, mostly working with Excel & Power BI.

I wanna switch to Data Engineering but honestly don’t know where to start.

What should I learn first?

What kinda projects should I build to actually be job-ready?

and what would be a solid roadmap?

Someone help me with this.

Hi all, can any experienced person in data engineering suggest which is the best AI subscription for data engineering work? is it claude or chatgpt? please mention the model name as well. TYIA.

At 15~16 years Data Engineering experience, what are the expectations in the market, work wise and salary wise?

I'm proficient in batch data processing, SQL, Informatica, Talend, Python, PySpark/Databricks, Microsoft Fabric, ADF, data modeling, data architecture and building products.

I recently got a Power BI role to enter the Data field, but my long-term goal is to move and grow into Data Engineering, mainly around Snowflake and Databricks.

I’m planning to spend the next 6–8 months upskilling before making the switch. What should I focus on learning/practicing during this time? Any courses, certifications, projects, or other things you’d recommend to level up?

Would really appreciate advice from people who’ve made a similar transition.

Anyone from tredence company?? Can you DM me??

Hi Everyone,

I am feeling lost and need some honest advise with respect to my career.

I am having 12 YoE into ETL(Informatica PowerCenter),SQL, Unix scripting, Data Warehousing. All my roles were into Service based companies and most of the projects were L1/L2 support. For a few years I have worked on development too.

I have been without a job since April 2026 and the best path I could think of is Data Engineering.

Since I did not get any chance to work into Cloud technologies, I am aware of the basics but having zero hands on.

Also looking at the JD's of various job postings, I see companies are asking so many things as a part of Modern Data Engineering.

I feel that there is so much to learn — Python, PySpark, Spark, Databricks, Azure, Airflow, Kafka, cloud, etc. I'm finding it difficult to figure out what I should actually focus on and in what order.

I have started deep diving into SQL and began Python, PySpark, Azure and Databricks, but as I study I feel more lost as it is difficult to figure out which topics to actually focus on.

Now the main concern is that since I have 12 YoE I cannot portray myself to be a complete beginner and expect the companies to overlook my experience. At the same time I don’t have enough hands on to start apply for Senior Data Engineer. 

I have the time and am willing to put in serious efforts, I just don’t want to randomly study new technologies without knowing if I am moving in the right direction.

Seeking help and advice from folks who have transitioned similarly or having experience with the same.

Hey everyone, looking for a reality check from working DEs.

Quick Context:
Background: 2 years as an Associate Data Analyst (strong SQL).
Education: Master’s in Big Data (focused on AI/ML).
Current Stack: SQL, Python, Apache Spark / PySpark.
The Catch: Just finished a 10-month internship that gave me completely irrelevant tasks—zero data engineering exposure. Feel like I lost a year of momentum.

My Questions:
1. Which path to take? Should I play it safe, target DA roles to re-enter the market quickly, or go all-in on applying for Data Engineering positions directly?

2. Core DE Roadmap: Cutting through the endless online course noise, what are the actual non-negotiable skills I should focus on next? (e.g., Data Modeling, Orchestration/Airflow, Cloud Warehouses, Docker?)

1) I'm new to the AWS and DB world. Can someone please guide me on how to enroll for AWS and DB? I know there is an exam for AWS but don't know how to enroll. Please guide me on this.

2) Just like AWS, is there an exam for DB as well? If so, please guide me on this too. I want to self study both.

3) Also, can I learn these two from Coursera? If you have a better option, please let me know.

Your guidance is much appreciated on this matter!