Data Engineer, Data & Analytics at LOUIS DREYFUS COMPANY ASIA PTE LTD

Wilton, Connecticut, United States -

Full Time

Start Date

Immediate

Expiry Date

20 May, 26

Salary

0.0

Posted On

19 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Pipelines, ETL/ELT, Python, Cloud-Native Architectures, DevOps, CI/CD, Git, SQL, Dimensional Data Models, Star Schemas, Data Transformation, Automated Testing, Cloud Platforms, Data Orchestration, Machine Learning Models, AI Solutions

Industry

Food and Beverage Manufacturing

Description

Company Description Louis Dreyfus Company is a leading merchant and processor of agricultural goods. Our activities span the entire value chain from farm to fork, across a broad range of business lines, we leverage our global reach and extensive asset network to serve our customers and consumers around the world. Structured as a matrix organization of six geographical regions and ten platforms, Louis Dreyfus Company is active in over 100 countries and employs approximately 18,000 people globally. Job Description This position is not eligible for sponsorship. 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 reporting Create and maintain data models and data transformation logic using SQL and Python Develop automated, high-quality indicators and KPIs from diverse data sources Perform exploratory data analysis to uncover patterns and support business intelligence initiatives Collaborate with data scientists to productionize machine learning models and AI solutions Qualifications Required Qualifications Essential: 2+ years of experience in data engineering roles with focus on data modeling, pipeline development, ETL/ELT, and analytics platform management Expert-level proficiency in SQL for complex queries, optimization, and performance tuning 1+ years of hands-on experience with Python for data engineering, including libraries such as Pandas, NumPy, PySpark, and data visualization tools (Plotly, Matplotlib) Proficiency with modern cloud data platforms (Azure preferred, AWS or GCP acceptable) Experience with data orchestration tools (Azure Data Factory preferred, Airflow, Prefect, Dagster) Understanding of DataOps, CI/CD pipelines, version control (Git), and infrastructure as code Preferred: Experience with distributed computing frameworks (Databricks, Apache Spark) Understanding of commodities trading, supply chain analytics, or agricultural industry domains Education Bachelor's or, Master's degree in Computer Science, Data Engineering, Computer/Systems Engineering, Data Science, Statistics, Mathematics, or related quantitative field. Candidates with equivalent professional experience and demonstrated technical expertise will be considered. Additional Information Additional Information for the job What We Offer We provide a dynamic and stimulating international environment, which will stretch and develop your abilities and channel your skills and expertise with outstanding career development opportunities in one of the largest and most solid private companies in the world. - Comprehensive benefits program including medical, dental and vision care coverage, flexible spending account plans, employee assistance program, life insurance and disability coverage - 401k with Company Match - Family Friendly Benefits including childbirth and parental leave, fertility and family building benefits - Paid Time Off (PTO) and Paid Holidays - Flexible work available (not applicable to all roles) Diversity & Inclusion LDC is driven by a set of shared values and high ethical standards, with diversity and inclusion being part of our DNA. LDC is an equal opportunity employer committed to providing a working environment that embraces and values diversity, equity and inclusion. LDC encourages diversity, supports local communities and environmental initiatives. We encourage people of all backgrounds to apply. Equal employment opportunity (EEO) Louis Dreyfus Company provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Sustainability Sustainable value is at the heart of our purpose as a company. We are passionate about creating fair and sustainable value, both for our business and for other value chain stakeholders: our people, our business partners, the communities we touch and the environment around us Years of Work Experience: 3 - 5

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Responsibilities

The Data Engineer will be responsible for designing, building, and maintaining scalable data pipelines and ETL/ELT workflows using modern cloud-native architectures, while also developing robust software solutions in Python for performance and reliability. Duties include collaborating with data scientists and trading teams to provide technical solutions and ensuring code quality through CI/CD practices and automated testing.