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Data Engineer

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ID de la oferta 165284 Fecha de publicación 11/16/2021 Location : Ciudad de México, México | Costa Rica

Job Purpose and Impact

The Data Engineer will design, build and execute high-performance, data-centric solutions using the our comprehensive big data capabilities. We seek a professional who can build and optimize data products to bring data and analytics products and solutions to our businesses.

Key Accountabilities

  • Provide necessary technical support through all phases of testing and incident handling after deployment.
  • Develop technical solutions using big data and cloud-based technologies.
  • Configure and develop data pipelines to move and optimize data assets.
  • Contribute to designing solutions for Cargill's big data and advanced analytics solutions aligned with requirements.
  • Independently solve moderately complex issues with minimal supervision, while escalating more complex issues to appropriate staff.
  • Other duties as assigned.

Minimum Qualifications

  • Bachelor’s degree in a related field or equivalent experience.
  • Proficiency in at least one backend programming language such as Java, Python, C#, Golang.
  • Experience building CI/CD pipelines.
  • Proven experience using SQL (stored procedures) or NoSQL, performance tuning.
  • Understanding of Cloud Computing.
  • Experience with Unix shell scripting.
  • Experience in API development and/or ETL processes.
  • Experience developing software using agile methodologies such as Scrum and/or Kanban.
  • Strategic thinking, problem solving, and analytical skills.

Preferred Qualifications.

  • Experience with data modeling, data warehousing and/or analytical tools.
  • Experience using any Hadoop Distribution, preferably Cloudera, to build solutions that deliver value through leveraging data as an asset.
  • Experience in building batch and streaming data pipelines using Sqoop, Kafka and/or Spark.
  • Experience working with various types of data sources such as SAP, JDE and other ERP systems.
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