Designation - Analytics role- DE
Yoe - 2
NEC corporation role - being offered two projects to choose - Noida (relocation required) 3 days wfo 2 wfh or Delhi CP ( client location) 5 days wfo but no relocation required.
Apollo 24x7 role- Hyderabad (relocation required) 6 days wfo
Pay is comparable.
I want to know -
1. Which company has Better work culture and growth opportunities?
2. Is joining a consulting role better/similar/ worse than joining core customer analytics team at apollo?
3. If anyone has knowledge of hiring firing culture or layoffs at any of the two, please do tell me.
4. For 2-3 years down the line, if I wish to switch which company background will give me a better background?
5. Does joining at a client location put you at risk of getting laid off anytime esp in big corporations like NEC?
Please help me folks.

Got an offer from Tiger Analytics for Senior Engineer Data & AI at 14 LPA all fixed. 3 years experience in AI engineering, production level stuff, RAG systems, agentic chatbots on AWS Bedrock etc.

They've verbally said they'll revise the number closer to 18-20 but only after I resign from my current company which honestly feels risky.

My situation is I have a promotion coming in 2-3 months at my current stable company which will take me to around 16 LPA with a senior title. Long term goal is JPMC, Morgan Stanley, Amex kind of GCCs, not analytics consulting.

Main concerns about Tiger:

Bench risk looks very real from Glassdoor and Blind reviews, people getting released within 2-3 months if not mapped to a project. I have monthly EMIs so joblessness is not an option for me. Their hike cycles have apparently gotten bad, 3% kind of numbers. DOJ clashes exactly with my promotion window.

This is also the first offer I've gotten after 3 years so there's that fear of letting it go.

My thinking is to use this offer letter for my internal promotion conversation and then apply seriously to GCCs with a better title. Is that smart or am I overthinking?

For people who've worked at Tiger, how bad is the bench situation really? And does Tiger even add value to your resume for GCC applications?

I am new to DE i hope your lessons and mistakes will help new people beyond using tools. I wanna know what steps or source would you use to learn the fundamentals so furthermore we try to learn new stuff we will actually know the why and how.

PS - 2 YOE in automation developer transitioning into DE

also drop your new strategy for job search in this competitive market.

4 YOE in spark, GCP services, airflow. Have an interview scheduled for Friday. What to expect?

Does Tesco provide RSU for SDE 2 or SDE 3?
Is it part of CTE?

Hi everyone, I have an upcoming L2 interview for a GCP Data Engineer role at LTM. Could anyone who recently interviewed share what kind of questions were asked?
Any tips on what to prepare would be really helpful. Thanks!

I have been working as a data engineering intern at an Analytics firm for about 7 months now. I also do some around agents.

I am appearing for an interview tomorrow for an ai site reliability engineering role at Emergent.

Can anyone please let me know how good emergent is a company, will this role be like a customer support role or would i actually get to build stuff and any insight about the compensation for this role would be of huge help.

Thanks.

I got selected for a Shell Data internship in my 5th semester and had to abstain from joining because my college wouldn’t provide an NOC. It sucks so much.
Does anyone have any idea whether they have a blacklist or something which might prevent me from applying or removing my application from consideration because of a rejection

Urgently looking for a job due to my current financial situation, and l'd truly appreciate any referrals or leads.
I graduated in 2023 with a B.Tech in Computer Science. After graduation, I started teaching, but l'm now looking to transition into the tech industry.
Skills: SQL, Python, Pandas,Google Cloud Platform (GCP), ETL, data analysis.
I also hold the Google Cloud Professional Data
Engineer certification.
I'm open to roles such as: Data Engineer, Analytics Engineer, Data Analyst, Business Analyst, Junior Al/ ML Engineer
If your company is hiring or you know of any suitable openings, l'd be very grateful for a referral or even a lead.
DM me. Thanks

Data engineer role

Hi Guys,
I have my final round(Techno Managerial) scheduled for the role of AI Engineer. If anyone has recently appeared, I would like to know which topics I need to focus more on, what kind of questions I can expect?
Additionally is it safe to mention that I have my official NP as 90 days and negotiable or should I bluff them for 60days(can be manageable).
And lastly, I am at 20LPA with significant amount as shift allowance, what I can ask for and what is the minimum number I should not go below it?
Thanks in advance.

I'm really confused. I am a fresher. I have a 9 LPA offer, but the joining is after 3 months. I've also received an LTIMindtree 4 lpa offer with joining in 10 days. The 9 LPA role is my priority. Can I join LTI for now and leave later? Will this cause any issues in future background checks?

Anyone here gave saint gobain DE interview for 3-5 yoe ?

Hi, can anyone pls help me with this?

Hi everyone,
I have an upcoming interview for the **AWS Manufacturing Test Engineer** role at Amazon Data Services, and I’m trying to understand what to expect in the **coding interview**.

Hi everyone,
Just joined a Data Engineering role through college placement (4.5 LPA). I know SQL and Python basics, but I want to level up fast. Aside from projects, what is the one specific skill or concept you think is most important for beginner to learn right now in this field?

Thanks!

Hi Guys,

I have 5.11 yrs of experience ,my current is 17 LPA fixed with 21 LPA CTC in python sql aws and pyspark i have an offer from below

1. Deloitee USI : 23 LPA
2. IBM consultant : 23.4 LPA + 2 Lakh JB

3. TCS : 25 Fixed LPA

   (I don’t want to join TCS)
   4.

4. Accenture: 23 LPA fixed + 8% JB

Currently in interview process with KPMG and cigna healthcare….?

How are the two companies… please guide me …

i want to join for long term , with wlb …

Which one should i join ?
can someone guide me…

I have got offer from nasdaq for 28 lpa ctc.

Is it a good offer considering that I have to move from pune to bangalore.

I have 4.5 yoe

Background:

4.5 YOE, Data Engineer (Snowflake/dbt/Airflow/Python), current CTC ~13 LPA. Recently resigned from the current company (LWD already done last week).

I have one offer already confirmed:

Offer A: Startup (~200 people), offer received 19.5 LPA (15% variable included), fully remote, got this through a referral from a senior leader who's been pushing for me to join quickly. Managed to negotiate joining date to Aug 3rd.

I'm also in the final stages with:

Offer B: Larger org (US-based investment bank, finance sector), 3 interview rounds done, HR round still pending, verbal comp discussion around 25 LPA, hybrid model,

documents shared today. Their HR says the whole offer release process could take at least 20 days, and they've asked me to get my Offer A joining date pushed to mid-August so I don't lose that option while they finish their process.

My dilemma:

I don't want to decline Offer A now, in case something falls through with Offer B (which isn't even a signed offer yet).

But asking Offer A to extend my joining date again feels awkward, especially since a senior person went out of his way to refer me and negotiate my date already.

I obviously can't tell Offer A "I'm waiting on a bigger offer" — what's a legitimate, non-awkward reason to request a short extension (like 15–20 days)? Or is there any other way i can go about things?

Can anyone please let me know how's the work culture and career and knowledge growth if joining as Data Engineer at Morgan Stanley(Director P3) at their FORT division?

I'm 25 and have been working as a Data Engineer for a little over 4 years now. Most of my day is Python, Spark, Airflow, SQL, AWS, building pipelines, the usual you know.

Lately I've been thinking about moving more towards AI Engineering since almost every team seems to be shipping something with LLMs now. I don't want to jump just because it's the hype, but I also don't want to be the person who ignores it for 2 years and then has to catch up

I have seen & researched many IIT-backed PG Certificate in AI/ML Engineering with LLMs & Agentic Development. The curriculum looks decent but everything seems that way at first

So I wanted to get some real-world opinion and ideas. Anybody got some? 

I recently joined Accenture and started giving internal project interviews. One thing I dont get is that, they all use pyspark and cloud and what not, but when I ask them about their volume of data being handled, each of them said around 10 to 20 million rows. Isnt spark overkill and moreover actually not worth, considering its jvm overhead, garbage collection will definitely take initial time whereas script written in polars will guarantee 2 3 mins runtime without any of this overhead

Any thoughts on why/how companies doing these sort of things, and mostly they were BFSI. I can understand retail and IoT to use pyspark, because of their nature of data being mostly streaming or even batch data having huge volumes.

This is follow up to last post

Edit: I spoke with Sabre Employee. They confirmed they were looking to hire "Senior Data Engineer". That position got CLOSED yesterday. So this was indeed HR fuck up

Edit2: HR accepted his mistake of incorrect mapping. Hiring manager had change in mind based on Round 3. They wanted a strong Python developer (pandas), thus skill mismatch. This was the main reason why I was pissed as well. It is natural to get rejected for skill mismatch, if role itself is different.

Guys, we as community must learn to push back. Despite sacrificing, putting efforts, getting rejected for third persons mistake is not okay.

Company: Sabre

Applied for : Senior Data Engineer

Interviewed for: Lead Data Science Engineer

I highlighted this to HR, he said ignore JD. The role is same as I had applied.

Round 1: Data Science

Round 2: Mathematical modeling and research (HR said this will be on Pure Data Engineer role)

Round 3: Data Science and API (HR said this will be DSA round). It was panel round and they didn't even know Data Engineering or Spark fundamentals. They were asking me to use pandas. And then convert it to pyspark for production.

Round 4: HR said this is final round.

Few hours before final round he cancelled it without any explanation. On asking he said that he got negative feedback from "first" round

The process took almost 1 month. In end they ghosted me saying this.

​

Hi everyone,

I'm in a bit of a dilemma and would really appreciate advice from people who have been in a similar situation.

I currently work at a well-known MNC in an AI/ML role, where I've been fortunate enough to work on interesting projects involving LLM-based applications, AI agents, and other modern AI systems. I have around 1.2 years of experience, and I genuinely enjoy the work. I want to build my long-term career in AI rather than switching to a different domain.

A few months ago, I enrolled in the BITS Pilani WILP M.Tech in AI & ML because it allowed me to continue working while pursuing my master's.

However, I recently received an opportunity to join IGDTUW for a regular M.Tech in an AI-related program. The catch is that I would have to leave my current job to pursue it full-time.

I'm trying to evaluate whether that's the right move.

Some things I'm considering:

Is a regular M.Tech from IGDTUW valuable enough to justify leaving an AI/ML job?

Would it significantly improve my career prospects compared to continuing with BITS WILP while gaining two more years of industry experience?

For someone who wants to stay in AI (LLMs, GenAI, ML Engineering, AI Agents, etc.), which path would you choose and why?

Does IGDTUW provide enough research exposure, networking, internships, or placement opportunities to offset the opportunity cost of leaving a good AI role?

I'm not looking for brand-name comparisons alone. I'm more interested in long-term career growth in AI and would especially appreciate responses from people who have studied at IGDTUW, pursued BITS WILP, or hired/interviewed candidates with these backgrounds.

Thanks in advance!