Key Role: Data Engineering">Our organization is a global leader in the food and agricultural industry. Our team is responsible for providing technical expertise to our clients.">The primary focus of this role will be on building, maintaining, and modernizing data pipelines that process large-scale regulatory data from around the world. The engineer will work closely with various tools such as Python, SQL, and related technologies to optimize legacy code pipelines, migrate processes to maintainable platforms, and ensure accurate and reliable data for client-facing products.">To excel in this position, you should have strong experience using Python for analyzing large datasets (7+ years). You should also be proficient in Python 3+, Pandas, NumPy, and Jupyter Notebooks. Additionally, deep knowledge of SQL and relational data using Oracle, Postgres, or MS SQL Server is required. Solid understanding of database design principles, data modeling, and data warehousing concepts is also essential.">While working in this role, you will also have opportunities to develop your skills in NoSQL database design and development using MongoDB, AWS DynamoDB, or Azure Cosmos DB. Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and services related to data storage/processing is highly valued.">We are seeking an individual who is self-motivated, curious, and comfortable working within an Agile software development team. A college degree or equivalent experience in computer science, software development, engineering, information systems, math, food science, or other relevant field of study is preferred.