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Hi Guys
Need ur small help
Total experience- 4.9 years Techstack- .net+angular fullstack
Offers
1)Neudesic- 18 Lpa fixed (WFH, base-pune) 2)Techspian- 23 Lpa fixed (Hybrid 3:2, Pune) 3)Concentrix Catalyst- 24 Lpa fixed (WFH, base- Hyderabad)
4)Societe General- 24 Lpa fixed (Hybrid, Banglore)
Which one I should prefer to join considering factors like WLB, Career Growth/opportunities, Job Security.
Please Advise Societe Generale Neudesic LLC Concentrix Concentrix Catalys
Thank you in Advance
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Anyone here work for CNM? What’s it like?
Top book recommendations
Paul went on IG Live this afternoon after Karine called the police. I have not watched the video, but bloggers report that Paul accused Karine of drinking in front of their son, domestic violence (shoving him), giving him an STD, and being pregnant again. The video ends with Karine asking to be taken to a shelter. Very sad.
https://www.instagram.com/tv/CDSJIotj7ft/?igshid=tyzjo7g4cef4
I would rather get an AWS or Azure account, get hands on experience with a whole bunch of data related activities...
Ingestion - Alteryx, Kafka, nifi, etc
Big data space - DataBricks, EMR, cloudera, ...
NoSql - DSE, graphdb, dynamo, mongo,...
Analytics- Tableau, powerbi,....
Download free data from kaggle.com or any similar source
Find business scenarios for the industry you are in and design end to end solution from data ingestion, loading, storing, analyzing, developing insights, visualizing and rendering insights via API maybe to a mobile app. If you show this at your interview to any potential employer, they will be more blown away than a certificate.
I've done a little bit of all of that, which is the problem. My skillset is Jack all of all trades, master of none, so I'm finding it difficult to sell myself in interviews. My profile is probably good to go back into consulting, but I only want to go to a high quality data focused team if I do go back.
https://www.google.co.in/amp/s/www.forbes.com/sites/cognitiveworld/2019/09/11/the-full-stack-data-scientist-myth-unicorn-or-new-normal/amp/
Finally got around to reading this and was instantly reminded of Facebook's method for structuring teams with their data engineers and scientists. At larger organizations where you're working with larger data, the devops skillset comes into play as a requirement as well. I personally think structuring data teams with a few devops folks with an equivalent number between data engineers and scientists is the way to go. All roles require different skillsets. and I agree with one of the above comments, anyone looking to hire a data person to do all that is asking for too much and probably doesn't have experience in data
GT has a solid online Masters of Analytics program that is <$10K total and is pretty widely regarded.
(cont) to position myself to lateral or even move up. Looking back at my 4 years in consulting, I did a lot of work on the cloud but it was pretty mind numbing and nothing extensive. I'm luckily in an industry that doesn't require much of a SWE or stats-heavy background for data engineering. I'd still like to try my hand at using data - what are everyone's thoughts on Masters programs in applied statistics/analytics? Money grab by unis or beneficial if it's from a good school?
Also, what's the market like for Sr engineers in our space with my broad background? I want to be in a role that uses data as well
I can understand your situation and have seen a lot of people in the same boat. Being and staying technical is a different ball game. Folks can become managers in 5-6 years of time but it takes many many years of extensive work to become an expert in a particular technology. The major difference being you can't BS when it comes to technical work.
Kpmg1 are you serious? A masters for <10k or did you mean < 100k? 😅
That’s great to know.
Get a udacity nanodegree in data engineering or analytics. For the pay, data engineering is definitely less stressful
I mean, I already work in data engineering. To give a bit more context, I can get offers from companies that have data engineering roles specified as non swe type engineering roles, but they're fairly hard to find given my background