Position Overview
- 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...