• 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...