Data Engineer @ Hirenza
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About The Company
Cargill is a global leader in agricultural, food, and risk management industries, committed to nourishing the world in a safe, responsible, and sustainable manner. With a history spanning over 150 years and operations in more than 70 countries, Cargill provides innovative solutions across the entire supply chain from farm to table.
About The Role
The Data Engineer role at Cargill is responsible for designing, building, and maintaining moderately complex data systems that support data analysis and reporting initiatives. This position requires a strong technical background in data engineering, cloud technologies, and data architecture to develop scalable and sustainable data solutions.
Qualifications
Candidates should have at least five years of relevant experience with a background that typically reflects seven or more years in data engineering roles. Proficiency in scalable ETL pipelines, cloud-based data storage (AWS, Snowflake) and familiarity with tools such as DataDog is required. Experience with GenAI tools and AI integration into data workflows is a significant advantage.
Responsibilities
- Develop and maintain advanced data products and solutions using cloud technologies.
- Create and optimize batch and streaming data pipelines for data ingestion.
- Review and improve existing data systems and architectures.
- Assist in building data infrastructure for efficient storage and retrieval of large datasets.
- Collaborate with cross-functional teams to fulfill data requirements.
- Prototype new data engineering frameworks for advanced analytics.
- Implement automated deployment pipelines ensuring governance and compliance.
- Perform data modeling to optimize performance and accessibility.
Benefits
Cargill offers a comprehensive benefits package including competitive salaries, health and wellness plans, retirement savings, paid time off, ongoing training, flexible work arrangements, and global mobility opportunities.
Equal Opportunity
Cargill is dedicated to creating an inclusive environment and values diversity. They provide equal employment opportunities to all employees.
Key skills/competency
- Data Engineering
- ETL Pipelines
- Cloud Technologies
- Data Architecture
- AWS
- Snowflake
- Data Modeling
- Data Ingestion
- GenAI
- Automation
How to Get Hired at Hirenza
🎯 Tips for Getting Hired
- Research Cargill's culture: Study their mission, values, and recent projects.
- Customize your resume: Highlight cloud and data engineering expertise.
- Network on LinkedIn: Connect with current data engineers at Cargill.
- Prepare technically: Practice ETL and cloud problem-solving tasks.