Develop data pipelines and apply methods and tools to collect, store, process and analyze complex data sets, globally for assigned operations or functions
Design, govern, build and operate solutions for large-scale data architectures and applications across businesses and functions
Select, manage and work hands-on with big data tools and frameworks, and implement ETL (extract, transform, load) tools and processes as well as data virtualization. Python/SQL advanced
Enable user self-service on data transformation and data visualization using Power BI
Collaborate with other teams to develop end-to-end custom data science solutions under agile framework
Design and implement large-scale data solutions using cloud technologies (Azure) providing reliable data services for reporting
Report to global teams in a Hub/Shared Service Center Environment
Covering the collection, modeling, storage, process...