Data Engineering Manager at Cargill
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Data Engineering Manager

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Job ID 239622 Date posted 01/18/2023 Location : Uberlândia, Brazil | São Paulo, Brazil

Want to build a stronger, more sustainable future and cultivate your career? Join Cargill's global team of 155,000 employees who use new technologies, dynamic insights and over 154 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 Engineering Manager will lead a small team of data engineering professionals to design, build and operate high performance data centric products or solutions through the use of modern engineering practices and technologies. In this role, you will provide guidance to ensure the delivered data centric products or solutions are scalable, sustainable and robust. You will also lead team development and cross team relationships and delivery to advance the company's engineering delivery.

Key Accountabilities

  • Lead a local or regional team of engineering professionals that design, develop, deploy and enhance new and existing data centric products or solutions through the use of modern platforms and technologies.
  • Provide routine inputs and guidance to the data engineering team on business requirements analysis, technical specification's preparation, product delivery, testing and operation to support businesses strategic direction.
  • Coach engineers, share relevant technical approaches, identify new trends, modern skills and present new methodologies within the data engineering community.
  • Lead and develop a team, coach and make decisions related to talent management, hiring, performance, and disciplinary actions.
  • Other duties as assigned

Qualifications

Minimum Qualifications

  • Bachelor's degree in a related field or equivalent experience
  • Solid related work experience
  • Advanced/fluent English level
  • Other minimum qualifications may apply

Preferred Qualifications

  • People management experience
  • Confirmed data engineering experience including technologies of big data, machine learning or data streaming
  • Confirmed knowledge of best practice patterns and how to apply them to data architectures and solutions

At Cargill, everyone matters and everyone counts. Cargill is committed to creating and sustaining an inclusive and diverse work environment where all employees are treated with dignity and respect. As such and in alignment with our Guiding Principles, Cargill's long-standing equal employment opportunity policy prohibits discrimination and harassment against any employee or applicant based on race, ethnicity, color, religion, national origin, ancestry, sex, gender, gender identity, gender expression, sexual orientation, age, disability, pregnancy, genetic information, marital status, family status, citizenship status, veteran status, military status, union affiliation, or any other status protected by law. Cargill also complies with all applicable national and local laws and regulations pertaining to non-discrimination and employment.

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