Data Engineer, Data & Analytics job opportunity at Louis Dreyfus Company.

Home Jobs In United States Of America Tag: Data & Analytics Data Engineer, Data & Analytics position at Louis Dreyfus Company


Date2026-04-01T13:26:24.950Z bot
Louis Dreyfus Company Data Engineer, Data & Analytics
Experience: General
Pattern: Full-time
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Data & Analytics

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loacation Wilton, Connecticut, United States Of America
loacation Wilton, Connec..........United States Of America
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Job DescriptionThis position is not eligible for sponsorship.Employment eligibility is limited to individuals who are authorized to work in the United States on a PERMANENT, UNRESTRICTED BASIS. This position does not support any form of visa sponsorship or work authorization, now or in the future.LDC is seeking a talented Data Engineer to join our expanding team of Data Analytics and AI. In this role, you'll architect and implement innovative data solutions that directly impact business decision-making and operational efficiency. As a data engineer at LDC, you'll work at the forefront of agricultural technology, building scalable data pipelines and AI-powered analytics solutions. You'll collaborate with diverse datasets—from satellite imagery and weather forecasts to market data and proprietary trading information—transforming raw data into actionable intelligence that powers our business. Duties & Responsibilities Data Engineering & Infrastructure Design, build, and maintain scalable data pipelines and ETL/ELT workflows using modern cloud-native architectures Design and implement robust software solutions in Python, focusing on scalability, performance, and reliability.  Schedule and automate workflows, enhancing operational efficiency and accuracy.  Collaborate in the development and maintenance of cloud-based infrastructure, applying best practices in DevOps to ensure high data availability and scalability.Work closely with data scientists, quantitative researchers, and trading teams to understand their data needs, providing technical solutions that enable effective data analysis and strategy implementation.Ensure code quality and maintainability by implementing strong CI/CD practices, code versioning, automated tests, and conducting thorough peer-reviews.Stay current with emerging trends and advancements in software development, data engineering, and cloud technologies, integrating new tools and techniques where beneficial.Expertise in handling and optimizing relational databases to support analytical applications Ensure data quality, governance, and compliance through automated testing and monitoring frameworks Data Transformation & Modeling Design and implement dimensional data models, star schemas, and semantic layers optimized for analytics and reportingCreate and maintain data models and data transformation logic using SQL and PythonDevelop automated, high-quality indicators and KPIs from diverse data sourcesPerform exploratory data analysis to uncover patterns and support business intelligence initiativesCollaborate with data scientists to productionize machine learning models and AI solutions  

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