Cargill provides food, agriculture, financial and industrial products and services to the world. Together with farmers, customers, governments and communities, we help people thrive by applying our insights and over 150 years of experience.
We have 155,000 employees in 70 countries who are committed to feeding the world in a responsible way, reducing environmental impact and improving the communities where we live and work.
The Cargill Agricultural Supply Chain (CASC) enterprise has embarked on an ambitious journey of creating and maturing a data platform for all enterprise data and henceforth consolidate and streamline the reporting and analytics usage across the enterprise.
In this role, the is responsible for design, build and operations of high performance, data centric solutions utilizing the comprehensive big data capabilities of Cargill’s data platform environment.
Work specifics will include build and optimization of Data products including models, configuration of pipelines, and management, monitoring and operations of solutions.
This position will partner closely with members of the Cargill Data Platform team to bring Data and Analytics products and solutions to Cargill’s businesses.
Keys to the success of this position is agile courageous & innovative approach to problem solving, deep engineering expertise, collaboration, flexibility, and a self-
motivated working style with attention to detail.To be successful, the candidate must demonstrated a passion for new and evolving technologies and be willing to push their application throughout the organization
30% Solution Analysis and Design :
Work with businesses, application and process owners, and product team members to design solutions for Cargill’s big data and Advanced Analytics solutions in line with requirements
Assist in the decision-making process related to architecting solutions
Create or modify design documentation as defined by team development standards, processes, and tools.
Ensure the solution designed and built is supportable as part of a DevOps model
Assist in creating documents that ensure consistency in development across Cargill.
60% Development and Testing :
Configuration and development of data pipelines to move and / or optimize data assets
Perform data modeling and prepare data in databases for reporting through various analytics tools.
Develop technical solutions utilizing big data and cloud based technologies
Support testing by fixing defects and making necessary back end design changes, apply test driven development principles to automate build and regression testing
Ensure adherence development and architecture standards and best practices.
Provide necessary technical support through all phases of testing and incident handling after deployment.
Provide support for product solutions as part of a DevOps model
Assess and help drive adoption of new technologies and methods within the team and across Cargill.
Build prototype to prove out concepts
Contribute ideas and / or code that improves core software infrastructure, patterns and standards
10% Miscellaneous :
Miscellaneous duties as assigned
Bachelor’s Degree in MIS, Statistics, Business or related field
3+ years of IT and business / industry work experience developing data or software applications including : analysis, design, coding, testing, deploying and supporting of applications
3+ years of experience working with Hadoop or other Big Data platform and building solutions that deliver value through leveraging data as an asset
2+ years’ experience in SQL Scripting
1+ years applied experience and skills with message or event based platforms : Tibco, IBM MQ, or Kafka, etc.
2+ years applied experience with Java and / or Python
1+ year experience with development using GitHub, TSVS or TFS
1+ year experience with Agile methodology
Strong interpersonal skills; demonstrated ability to build trust and strong relationships
Result orientation and ability to work in ambiguous situations where requirements are not clear, specifications not in detail etc.
Strong conceptual strength, strategic thinking, problem solving, technical, and analytical skills.
Demonstrated application of strong market awareness and customer focus.
Ability to ask next level questions anticipating business inquiries and performing root cause analysis
Bilingual English Spanish
Ability to travel up to 10%
Applied experience in Reporting Tools like Power BI , Tableau etc
Applied experience and skills with API Development
Applied experience with Cloud platforms including AWS and / or Azure
Experience working with various types of data sources such as SAP, JDE, legacy ERP systems
Understanding trading and risk management concepts