Insight Data Engineering Blog

Consider doing a soft move rather than a hard move. I will explain what I mean by that.
Instead of spending your time learning ML I would suggest first make a move to data engineering where you use more of the big data technologies like hadoop, spark, python, pandas, etc. You can also look at some kind of a bootcamp or at the least the topics they cover is obviously helpful: http://insightdataengineering.com/
Some other tips :
- Follow data engineering and data science topics on quora.
- Once you feel confident try to rewrite your linkedin profile from data warehousing developer role to a data engineer role. Add big data technologies to your skill set.
- Try to get into an auction on hired.com
- It is false that MS does not use Hadoop. I have interviewed with teams that do but they are all in seattle. Try to move internally to teams like Azure, HDInsight.
- ETL, data modeling, SQL, designing data warehouses and pipelines are actually still the most useful skill to have. So hold on to that.
- One thing that I haven't done yet but really mean to is to get on Kaggle. You should too at some point.

I actually pretty interested in joining this program since I am near one of the locations! Do you guys accept other type of engineer (in my particular case Mechanical Engineering) with a background in programming?

Also side note, I think you guys probably just migrated to new domains but there seems to be a couple 404 links/pages on the site? The ones I was looking in particular are these two http://insightdataengineering.com/insightdataengineering.com/data-engineering-notification-list http://insightdataengineering.com/insightdataengineering.com/data-engineering-notification-list

Also, there's an cert error that pops up in Firefox for http://insightdata.ai

I know this beats the very premise of your product - "personalized" guidance but thought I would ask anyway.

How open are you to sharing general guidelines (that are insightful and not already available everywhere) ?

It would also help if you could ask the people who are successfully placed to write their learnings along the process. Similar to how the Insight data engineering fellow and others at coding schools share what they learnt/built.

Eg: http://insightdataengineering.com/blog/mapmycab.html

We don't have a fixed syllabus since we don't operate like a school per se. Instead, the Fellows choose a project and have to make engineering tradeoffs about which tools to use. With that said, most of the past participants focused on distributed systems like Hadoop, Spark, Flink, Kafka, and NoSQL DBs. You can check out past projects on the blog (http://insightdataengineering.com/blog/) and the past Fellows are here (http://www.insightdataengineering.com/fellows.html)