Senior Data Engineer

About this role

Company Description

About Syngenta

At Syngenta Crop Protection, we're pioneering solutions that safeguard global food security while championing sustainable agriculture. As a world market leader headquartered in Switzerland, we empower farmers with innovative crop protection technologies that defend against nature's toughest challenges. We unite advanced science with digital solutions to develop intelligent crop protection that maximizes yields while minimizing environmental impact. Join our mission of revolutionizing plant protection from seed to harvest.

Job Description

Support analytical data infrastructure providing application, tool, and ad-hoc access to large datasets consisting of complex data types including genomic, phenotypic, environmental, image and geospatial data. Engage with business stakeholders to understand strategic roadmaps and build a technical strategy to support them. Interface with DevOps teams to extract, load, and transform data from a wide variety of data sources using big data technologies. Deploy high value, high performance datasets. Create and support real-time data pipelines built on AWS technologies. Embed quality and intelligent reporting capabilities into data pipelines including detection of anomalies and changes in trends with meaningful alerts and statistics. Provide new capabilities and increase efficiency by continually researching the latest big data and visualization technologies. Collaborate with data scientists and other tech teams to implement advanced analytics algorithms into data pipelines that exploit rich datasets for statistical analysis, prediction, clustering, and machine learning. Improve automation and simplifying data as a service. Role is fully remote.

Qualifications

This position requires a Bachelor’s degree in Engineering (Any), Computer Science, or a related field of study and five (5) of experience in the position offered or five (5) years of experience as a Data Engineer, Software ...