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Data Engineering Supervisor

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Job ID 237367 Date posted 09/12/2022 Location : Costa Rica

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 Senior Supervisor 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.
  • Work closely with business stakeholders to understand the customer goals, business needs and priorities.
  • Other duties as assigned.


Minimum Qualifications

  • Bachelor's degree in a related field or equivalent experience.
  • Minimum of four years of related work experience.
  • Experience mentoring and developing engineers.
  • Proven stakeholder management experience.
  • Experience defining and improving processes.
  • Experience working on Agile environments.
  • Other minimum qualifications may apply.

Preferred Qualifications

  • Two years of supervisory experience and/or program 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.
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