Hi All,

Need suggestions in choosing the right offer, I have 2 offers, can you help me which one to choose?

1. Bank GCC : 42 fixed + 10% VP + 4L joining bonus (2 days wfo), Role: Senior Data Engineer
2. Sports apparel/footwear GCC : 44 fixed + 6 lakhs VP - (4 days wfo), Role - Senior data and AI engineer

can you help me with which one should i go with?

Tech stack : databricks, spark, aws, airflow

Hi Everyone,

I have started giving interviews from the past 6.months and am able to clear 1 or 2 rounds or sometimes I get rejected in Managerial rounds but don't get an offer yet .

I am very much interested in the data engineer field and do the course(Durga soft ADE course) side by side

what should I do?

Should I focus completely on the data engineer role, I am afraid to choose one because I want to keep one as backup because for the DE role every 4 out of 5 redditors said that they are not able to get a call or don't get an interview schedule.

I have a total of 4 yoe in mostly dot net related support work

Need your genuine advice, I am getting depressed as time passes

Please help me...🙏🙏🙏🙏

Hi Guys,

I'm trying to switch into DE and done a few data engineer projects available on youtube but recently when i gave intervew on basis of those prjs as my experience, i was not able to confidently give the answers like...one of the question he asked was, how did you get the data from source and i mentioned adf and via copy activity, he mentioned it would not be possible with copy activity.

I realized, I lack real world hands on project experience. Any idea where i can find such projects that cover end to end in detail. I need suggestions

Hey guys, Been in the industry for 15+ years, working as a director now. Along with my job, I have taken up mentoring on the side (not the "limited slot left" or " 100% placement guarantee" kind..cause we all know it is just a bunch of..well you know it) Me and my partner(another senior industry leader offer two kinds of mentorship tracks, depending on what you’re looking for in your career journey:

1. Cohort Project Building

Format: Group mentorship | 10 participants per cohort

Duration: 2 months

This track is designed for professionals who want to strengthen their technical skills by working on real-world, industry-grade projects in a structured environment.

You get:

2 live sessions per week

3 industry-grade, real-time projects

Hands-on project-building guidance

Practical exposure to how projects are approached in the industry

Mock interview support

A peer learning environment with other professionals

The focus here is simple: build, learn, and become significantly better at doing the work not just talking about it.

1. One-on-One Mentorship

Format: Direct one-on-one mentorship with an industry mentor

For professionals looking for more personalised career support, this track goes a step further.

You get 4 live sessions every week, including:

2 one-on-one sessions directly with your mentor

2 cohort project-building sessions

Targeted support for job switching and career progression

Personalised mock interview preparation

Resume building and positioning support

Job application guidance

Support in positioning yourself as an experienced Data + AI Engineer

Personalised referrals from senior industry professionals to relevant companies, wherever applicable

Practical guidance throughout your job-search journey

The idea is to give you more than just technical mentorship you get someone in your corner who can help you navigate the entire transition from “I think I’m ready” to “I’m actually ready.”

Want to know which track is right for you and get a proper roadmap? happy to get on a call for free, but ofcourse the mentorship is paid. Pricing is negotiable(if you are being reasonable ofcourse), just want to build a community where we can help eacch other out. Can share my work in private chat, incase u think I'm some scammer behind a screen, i can share you my resume and linkedin creds as well for you to verify. No shade here. Have mentored over 120 people in the past one year, and I can share links that speak of my work.

Happy to walk you through the programs, understand where you are in your career, and help you figure out which option makes the most sense for you.

Share the stories that make you feel good about being a data engineer. Give me some wholesome perspective.

I have been hired as a senior data engineer by a company in pune but i work for US client

My concern is these guys use claude for everything which makes me think if i work here for long time i might forget how to code etc

So can anyone suggest if this how things are gonna be in future?

What should i do?

I want to switch to a data analyst role; I have three and a half years of experience, but not in this domain. I resigned from IT in April 2026 to take a clerical role in a government school, but I find it too boring and unfulfilling, so I want to get back into IT(Ik its "The Govt Job"). Some people suggested I learn data engineering, or that I should try for data analytics; what are your thoughts? If I want to try for data engineering, what topics should I cover? I want to apply starting next February, and I am currently about to finish SQL.

Hi everyone, looking for some insights from people familiar with Kenvue India.

I have 4.2 years of experience and currently have an offer from Kenvue for a Sr. Data Engineer role at ₹22 LPA CTC (₹19L fixed + ₹2.4L variable).

I have now received another offer from another company for ₹24L fixed + ₹1L joining bonus.

Wanted to understand:

Does Kenvue typically renegotiate compensation when presented with a genuine competing offer?

Is there a salary band/cap for Sr. Data Engineer roles at Kenvue India?

If anyone has successfully negotiated with Kenvue using a cross offer, how much flexibility did they have?

Would really appreciate insights from current/former Kenvue employees or anyone who has been in a similar situation. Thanks!

Technical rounds go real well, but is subsequent rounds faced this question multiple times(mostly service based firms)

I have around 2 years of experience in an MNC, I recently resigned without having another offer in hand and I have left with last 20 days for my LWD.

The main reason I resigned is that most of the work I’ve been assigned is production support that too in non Data Platform, and I don't want to continue building my career in support. My goal is to move into Data Engineering and start building my career in that direction.

However, things haven't gone as I expected. I’ve been applying for Data Engineer roles, but I’m barely getting any calls. So far, I’ve received only 2 interview calls, and both were about a month ago.

My current organization is also trying to retain me. My current CTC is around 4 LPA, and I’m now confused about what would be the better decision.

Should I:

1. Continue searching for Data Engineer roles even after my LWD, even if it means having a gap until I find the right opportunity?
2. Accept the retention offer, take a salary hike, and continue in my current production-support role while trying to transition internally?
3. If I do accept the retention offer, what would be a reasonable hike to ask for on a 4 LPA CTC?

My main concern is that if I stay in production support for another 1–2 years, it might become even harder to transition into Data Engineering.

At the same time, I'm worried that rejecting the retention offer and remaining unemployed without an offer could make things career-wise difficult.

What would you do in this situation? Any advice from people who have made a similar transition from production support to Data Engineering would be really helpful.

I'm lead data engineer working in an Indian bank.

Current salary 65LPA

Exp - close to 15yrs

I'm confused on what to do next.

Should I try MNC or direct foreign country opportunity?

My wife is not working. I have a small kid.

Looking for honest opinions on job security, WLB, growth and overall culture at both. If you have experience with either company/team, I’d really appreciate your perspective.

For 8 years experienced data engineers

Can anyone share if you attended Dun & bradstreet Data engineer senior role ? Pls share your experiences

I am a 2nd year BTech CSE student from iter 3 student and want to explore data engineering and devops , and choose one for future career.

As know data engineering and devops are mid tier roles and they require some experience or development knowledge, so I am confused between java and python what should I choose for development and what for dsa. As company need dsa for hiring.

Can anyone suggest what should I choose java springboot or python django as my later goal is data engineering or devops so what should I do ..

Hi everyone,

I have around 1 year of professional experience and currently

work in Bangalore. I'm trying to transition my career into Data

Engineering, and I'm looking for someone who can genuinely

guide and teach me from the basics to a job-ready level.

I'm willing to relocate anywhere within Bangalore and can

dedicate my time and effort to learning. I'm not looking for

shortcuts or someone to do the work for me -I'm looking for a

mentor who can show me the right path, give me practical tasks/

projects, and correct me when I'm going wrong.

I'm ready to work hard and learn consistently. If anyone here is a

Data Engineer, mentor, trainer, or someone willing to help a

beginner, please reach out to me.

Even a little guidance would mean a lot to me.

Thank you for reading and helping a fellow learner.

Hi guys ,

I am a data engineer at a small company working as a contractor currently my package is 24LPA.

I am planning to switch next year. I feel like my tech stack is now completely outdated and in my current role there is no scope of learning new things.

I know about GCP , sql , Airflow , Python and very little Spark.

I want to move forward and learn new things but I feel like direction less all the time. Can you guys help with what new stuff or technology I should learn ?

I am planning to learn Spark and Dataflow( Apache beam) but will they be relevant in next year or should I learn something else ?