I'm not so sure. Unless you use Azure which a lot of business don't, then Hive, Pig and Hadoop are going to be very time consuming to implement. Microsoft used to inject all their time and effort into enabling us the customer to innovate, that simply isn't the case anymore.
A few years ago, not working at one of the big three technology giants meant you could still build cutting edge technology e.g. TapeStation 2200.
I built this, and am incredibly proud as it is used in all the best research institutions world wide and will affect medicine for the next decade. The market is lumping big data along with SQL developer roles and paying the same.
I think there are two tiers of developer emerging now, those that work at the big three and the rest of the world that are effectively the second tier of developer, and the more these technology companies grow, the bigger this divide is, granted there are companies like Mercedes and BMW that do value data science and AI, the market is just too clever and realises the level of human intelligence required to write these systems but dumbs it down, and gets you to write systems that will make them millions for next to nothing.
I see data science being marginalised like SQL development, with below average salaries, so even though it will be technically interesting, you will still get paid less than a bricklayer.