Associate Data Engineer
Cargill is committed to providing food and agricultural solutions to nourish the world in a safe, responsible, and sustainable way. Sitting at the heart of the supply chain, we partner with farmers and customers to source, make and deliver products that are vital for living.
Our 155,000 team members innovate with purpose, providing customers with life’s essentials so businesses can grow, communities prosper, and consumers live well. With over 160 years of experience as a family company, we look ahead while remaining true to our values. We put people first. We reach higher. We do the right thing—today and for generations to come.
Job Purpose and Impact
The Associate Professional, Data Engineering job assists with the design, building and maintenance of routine data systems that enable data analysis and reporting. Under close supervision, this job provides collaboration to support that large sets of data are efficiently processed and made accessible for decision making.
Key Accountabilities
- DATA & ANALYTICAL SOLUTIONS: Assists with the development of basic data products and solutions using big data and cloud based technologies, supporting scalable, sustainable and robust designs.
- DATA PIPELINES: Collaborates with the development of basic streaming and batch data pipelines that facilitate the seamless ingestion of data from various data sources, transform the data into information and move to data stores like data lake, data warehouse and others.
- DATA SYSTEMS: Assists with the implementation of existing data systems and architectures in support of improvement and optimization activities.
- DATA INFRASTRUCTURE: Supports the preparation of data infrastructure aligned with the efficient storage and retrieval of data.
- DATA FORMATS: Helps implement appropriate data formats to improve data usability and accessibility across the organization.
- STAKEHOLDER MANAGEMENT: Assembles requirements from multi-functional partners assisting the team to ensure that data solutions meet the functional and non-functional needs of various partners.
- DATA FRAMEWORKS: Conducts basic testing of new concepts and assists with the implementation of data engineering frameworks and architectures to support the improvement of data processing capabilities and analytics initiatives.
- AUTOMATED DEPLOYMENT PIPELINES: Collaborates with the implementation of automated deployment pipelines to support improving efficiency of code deployments with fit for purpose governance.
- DATA MODELING: Performs basic data modeling aligned with the datastore technology to ensure sustainable performance and accessibility.
Qualifications
No minimum years of relevant experience required. Typically reflects 2 years or more of relevant experience.
Professional experience with many/most of the following is preferred:
SQL, Python, relational databases
GIT, CI/CD, Dev Ops
ETL
Linux
The business will not sponsor visas for this position. This role is based out of our Atlanta, GA office and relocation will not be provided.
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Equal Opportunity Employer, including Disability/Vet.
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