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Data Engineer

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.


Key Responsibilities:

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

Required Skills:

     ●  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. 

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