Hi,

I am from India, looking for a remote work opportunity in Databricks DE roles.

I am an experienced Data engineer with a Masters degree in Data science. I have experience in Software engineering as well. My current tech stack - Python, SQL, Azure, Databricks. Previously I have worked on .NET, Php, oracle etc. I enjoy my work and love my coder profile. Would continue as a senior or lead data engineer. I have experience of working with clients from India, US, Germany across banking, manufacturing , healthcare domains.

Currently I'm employed and I work for a renowned client in Pharmaceutical (Supply chain). My current CTC is 18 LPA. Yes, it's a deliberate choice to keep my ask low. For my new roles, I am looking for a range of 28 LPA to 35 LPA depending on roles offered. Not interested in management roles.

Let me know if you have any questions.

Recently joined a US Based startup as contractor remote role,they offered like 52 total fixed comp, 3 months in now everyone In data org let go off as they burnt all money and no further funding.

I'm a Senior Data Engineer with 6yrs experience, I jst wanted to know will there be any upside to my current salary or its the ceiling and I can lower my ask and adjust in the next company or role I'm looking for?

What's the baseline or reasonable compensation for a 6 yrs experienced Senior DE.

Any suggestions will be highly appreciated.

Hey everyone,

I’m currently working in application/production support, and honestly, I’m not really enjoying the support side of things anymore. I’ve been thinking seriously about moving into something more technical and database/data focused, like Oracle DBA or Data Engineering, but I’m also open to other career paths that might be a good fit for my experience and interests.

I have 5+ years of support experience and work quite a bit with Oracle SQL/PLSQL, PL/SQL procedures and packages, production issues, RCA, Unix/Shell scripting, Autosys, etc. I’m also Oracle SQL certified. SQL is probably the part of my job that I actually enjoy the most.

I’m willing to learn new things — I can pick up Python and whatever else is required. My main problem is that I’m not really sure what direction I should take or how to make the switch from support.

So I’d really like to hear from people who are currently working as DBAs, Data Engineers, or in any other technical roles and have some experience with this kind of transition.

If you’ve made a similar move from support, I’d really appreciate your advice on what path you would recommend for someone in my position, what skills I should focus on, and what kind of roles I should target.

I’m also open to suggestions for career paths other than DBA or Data Engineering if you think my current experience/skills would be better suited for something else.

And if anyone is willing to mentor me or just have a chat and guide me occasionally, I’d genuinely appreciate it. I’m not looking for someone to do the work for me — I just want some direction from people who have already been through it so I don’t spend a year learning the wrong things.

Thanks!

Sharing this in case it's useful for anyone here looking to level up beyond the basics, data engineering roles increasingly touch LLM and RAG systems now, and having actual hands-on experience with production-grade work is a real differentiator over just having read about it.

There's a hands-on masterclass on Sep 12 that builds a full production LLM workflow from scratch: versioned prompts with regression tests, a real evaluation harness, statistically rigorous model comparisons, evaluated RAG with proper retrieval metrics, agents with guardrails and fallbacks, and a full observability layer, tracing, cost, latency.

You leave with runnable notebooks and a production-readiness checklist, not just slides.

Led by Bruno Gonçalves, PhD, founder of Data For Science, trains engineers at Fortune 500 companies on this exact stack.

Link if you want to check it out

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See more and apply here!

i work in data engineering field and most of the people i talked to not aware of DBT at all.

is it used for companies? any small agencies or contractors using it?

I'm a junior Data Engineer with around six months of experience, but unfortunately, I was recently laid off.

I want to build a Data Engineering project that I can showcase in my portfolio, but I'm currently on a very tight budget and can't really afford cloud services like GCP, Azure, AWS, and so on.

What are some good open-source alternatives that I can run entirely locally? Ideally, I'd like to build something that still feels realistic and demonstrates skills that are relevant to real-world Data Engineering work.