Real-Time Data Streaming Solution for Predictive Order Management

As an innovative startup in the Restaurants & Food Service industry, we are seeking an experienced data engineer to develop a real-time data streaming solution that supports our predictive order management efforts. Our goal is to leverage real-time analytics to dynamically adjust inventory and predict customer demand, thereby minimizing food waste and maximizing efficiency. The ideal solution will integrate with our existing infrastructure using technologies such as Apache Kafka for event streaming and Spark for processing large datasets. Additionally, we expect the solution to include orchestrated workflows using Airflow, and to store processed data in a warehousing solution like Snowflake or BigQuery. This project involves designing, developing, and deploying a scalable data pipeline that can handle high throughput and ensure data consistency and accuracy in real-time. The successful completion of this project will empower us to make data-driven decisions quickly, significantly enhancing our operational efficiency and customer satisfaction.