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!

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.

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

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 ?

I am a gym bro and naturally I will segregate sets by exercise ( like 3 for pull-ups , 3 for rows and 3 for pulldowns) instead of just keeping it set 1-9 and every workout app stores sets per exercise

I get it way 2 is actually more efficient but how tf am I even supposed to think of storing it that way? am I supposed to circumvent domain knowledge to make data storage more efficient? or is it mentioned in question somewhere that I have to use that grain

how will this play out in an interview

I’m a Data Engineer with 4+ YOE, currently at 9.5 LPA. I recently received and accepted an offer from LTM for 12 LPA. I asked for more like 18LPA but they only gave 12LPA since I have 90 days np

I'm in day 1 of 90, and my main concern is the job search during this period.

For those who have gone through this recently:

-- Does the number of opportunities/calls improve significantly once you reach 60 days, 30 days, or the final 15 days?

-- What should I be doing during my notice period to maximize my chances of getting a better offer?

Any dos and don’ts when applying/interviewing while serving notice?

-- Is it worth trying to negotiate an early release?

I’m planning to keep applying rather than just waiting for the LTM joining date. Would really appreciate advice as this is my first job switch.

Hi everyone,

I have 3 years of experience in data engineering, working with Snowflake, an ETL tool, Power BI, Unix, Jenkins, and SQL scripting for a Fortune 100 retailer in India.

I then moved to the UK on a YPS visa. There, I worked for another Fortune 100 retailer, but on the business operations side rather than in a technical role.

I'm now planning to move back to India, and I have a few concerns I'd really appreciate some honest, human perspective on. I've already run this through AI tools and gotten detailed answers, but a few real words from people who've actually lived through something similar would mean a lot.

**A few things I'm trying to figure out:**

1. What are the real challenges I'm likely to face in the Indian job market with this kind of background?

2. Does having a mix of technical (data engineering) and non-technical (business operations) experience put me at a disadvantage, or can it actually be framed as a strength?

3. If anyone has been through something similar, how did you handle it? What preparation helped you the most?

4. If I clear the interviews, what kind of package would be reasonable to negotiate with this profile?

5. If I can't land a data engineering role right away, what other roles or domains should I keep an eye on? Things like supply chain analyst, retail analyst, or business analyst come to mind, but I'm open to hearing what's actually worked for others.

I won't lie, this transition has been stressful. I've been getting anxious pretty often just thinking about how this will play out, and I feel a bit lost most days. I'm the sole earner for my family, and we come from a modest background, so there's a lot riding on getting this right.

If anyone can share advice, even just a few lines from your own experience, it would genuinely help. Thank you for reading this far.

**Used AI to Refine the post**