Data Engineer

Want to build a stronger, more sustainable future and cultivate your career? Join Cargill's global team of 160,000 employees who use new technologies, dynamic insights and over 157 years of experience to connect farmers with markets, customers with ingredients, and people and animals with the food they need to thrive.

Job Purpose and Impact

The Data Engineer will treat data as an asset to design, build and execute high performance and data centric solutions by using the comprehensive big data capabilities for the company's data platform environment. In this role, you will build and optimize data products to bring data and analytics products and solutions to businesses.

Key Accountabilities

• Collaborate with businesses and other stakeholders to participate in product or solution designs.
• Develop robust, scalable and sustainable data products or solutions utilizing cloud based technologies.
• Provide moderately complex technical support through all phases of product or solution life cycle.
• Perform data analysis, handle data modeling and configure and develop data pipelines to move and optimize data assets.
• Build moderately complex prototypes to test new concepts and provide ideas on reusable frameworks, components and data products or solutions and help promote adoption of new technologies.
• Independently solve moderately complex issues with minimal supervision, while escalating more complex issues to appropriate staff.
• Other duties as assigned

Qualifications

Minimum Qualifications

• Bachelor's degree in a related field or equivalent experience.
• Minimum of two years of related work experience.
• Experience with SQL (advanced).
• Experience with cloud technologies (AWS, Azure, GCP).
• Experience creating ETL pipelines.
• Experience working with Hadoop - Snowflake.
• Advanced English level.
• Other minimum qualifications may apply.

Preferred Qualifications:

•  Experience using MarkLogic.