Experience Needed: 0-6 Years
Position Purpose & Summary
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 Data Engineer is responsible for the Technical Development 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, the configuration of pipelines, and management, monitoring, and operations of solutions under the supervision of a Senior Data Engineer/Lead Data Engineer.
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 demonstrate a passion for new and evolving technologies and be willing to push their application throughout the organization
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 under the supervision of a Senior Data Engineer/Lead Data Engineer
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
Solution Analysis and Design:
Participate in discussions 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
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.
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 working under the Architects guidance
Contribute ideas and/or code that improves core software infrastructure, patterns and standards
Education, Experience, Skills:
Bachelor’s Degree in MIS, Statistics, Business or related field
0 – 6 years of IT and business/industry work experience developing data or software applications including: analysis, design, coding, testing, deploying and supporting of applications
0 – 3 years of experience working with Hadoop or other Big Data platform and building solutions that deliver value through leveraging data as an asset
0 – 2 years experience in SQL Scripting
0 – 1 years applied experience and skills with message or event based platforms: Tibco, IBM MQ, or Kafka, etc.
0 – 2 years applied experience with Java and/or Python
0 – 1 year experience with development using GitHub, TSVS or TFS
0 – 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
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
Job ID: BAN05577