Our portfolio of widely recognized brands make our global customer base more efficient, sustainable, and profitable. We improve quality, reduce waste, and assure safety.
Our Digital Innovation team operates as a startup within the company. Leveraging our cutting-edge technology and culture of collaboration and big ideas, our cloud / Internet of Things ( IoT ) platform is differentiated and makes a real difference to our global clients.
We are looking for passionate people looking to make a difference in a fast-growing organization with global reach and a collaborative, idea-driven culture.
Engineer and build data pipelines that facilitate a loosely coupled data infrastructure managed over cloud and APIs
Execute data pipelines using open source languages over cloud services, and manage code over a change control process
Work with divisional stakeholders and agile development team members to build a standardized data architecture
Translate functional problem statements into machine understandable codes in select languages (examples – Python, R and C++)
Build and maintain a repository of codes and provide regular reporting, analysis, and insights against the data models
Work with product owners to engineer the appropriate data pipelines for computing the required KPIs over a cloud infrastructure
Explore and examine data KPIs and build the corresponding code over ‘server-less’ services from clouds (example – ‘Lambda’ in AWS, and ‘Functions’ in Azure), and expose the finalized KPIs as API endpoints
Provide technical analysis to prepare specifications for KPI reporting needs – assist with QA and testing of data pipelines, over the change control process
● Cloud platforms, software development, and micro-services
● Data engineering and cloud services architecture
● Integration of data into content management platforms
*Extra consideration for those with experience in IoT platforms.