Real-Time Data Infrastructure for Sustainable Seafood Supply Chain Management

In the rapidly evolving Seafood & Aquaculture industry, our scale-up company faces the challenge of maintaining a sustainable and efficient supply chain. We are embarking on a project to develop a real-time data infrastructure that will enable us to track and manage our seafood supply chain with unprecedented accuracy and speed. The system will utilize Apache Kafka for event streaming, Spark for data processing, and Snowflake for data warehousing, facilitating a seamless data flow and real-time analytics capabilities. Additionally, implementing MLOps and data observability practices will ensure the infrastructure's reliability and scalability. By delivering timely, actionable insights, this platform will enhance decision-making processes, reduce operational inefficiencies, and promote sustainable practices. We are looking for a proficient data engineer with experience in these technologies to lead this initiative, ensuring that the system is aligned with our environmental sustainability goals and business objectives.