Senior Data Engineer
Cargill
San Antonio de Belen, Heredia, Costa Rica
hace 1 día

Description

JOB PURPOSE AND IMPACT

The Data Engineer will design, build and operate high performance data centric solutions utilizing the comprehensive big data capabilities for the company’s data platform environment.

In this role, you will act as an authority for data access pathways and techniques working with analysts within the functional data analytics team.

You will design data structures and pipelines to collect data and design and implement data transformations, combinations or aggregations. KEY ACCOUNTABILITIES

  • Collaborate with businesses, application and process owners, and product team members to define requirements and design solutions for the company’s big data and analytics solutions.
  • Participate in the decision-making process related to architecting solutions.
  • Develop technical solutions utilizing big data and cloud based technologies and ensuring they are designed and built to be sustainable and robust.
  • Perform data modeling and prepare data in databases for use in various analytics tools and configurate and develop data pipelines to move and optimize data assets.
  • Provide necessary technical support through all phases of solution life cycle.
  • Build prototypes to test new concepts and be a key contributor of ideas and code that improve the core software infrastructure, patterns and standards.
  • Help drive the adoption of new technologies and methods within the functional data and analytics team and be a role model and mentor for data engineers.
  • Independently handle complex issues with minimal supervision, while escalating only the most complex issues to appropriate staff.
  • Other duties as assigned.
  • Qualifications

    MINIMUM QUALIFICATIONS

  • Bachelor’s degree in a related field or equivalent experience
  • Minimum of four years of related work experience
  • Proven experience using any Hadoop Distribution, preferably Cloudera, to build solutions that deliver value through leveraging data as an asset
  • Understanding of Cloud Computing
  • Proven experience in building batch and streaming data pipelines using Sqoop, Kafka and / or Spark
  • Proven experience using SQL or noSQL
  • Experience developing software using agile methodologies such as Scrum and / or Kanban
  • Strategic thinking, problem solving, and analytical skills
  • Strong interpersonal skills, ability to build trust and relationships and influencing others
  • Result orientation and ability to work in ambiguous situations where requirements are not clear
  • Experience with Unix shell scripting
  • PREFERRED QUALIFICATIONS

  • Experience with reporting and analytics tools
  • Experience working with various types of data sources such as SAP, JDE and other ERP systems
  • Proficiency in at least one backend programming language such as Java, Phyton, C#, Golang
  • Experience building CI / CD pipelines
  • Information Technology

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