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

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/ 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.