10 Opening(s)
4.0 Year(s) To 10.0 Year(s)
5.00 LPA TO 15.00 LPA
You will manage the pipelining (collection, storage, access), engineering (cleansing, feature creation / selection) and understanding (documentation, exploration) of the data; ? Acquire, create and manage innovative data assets for the team. These assets will draw from various sources – internal and external systems, flat files, databases and external APIs; ...