Implementing Real-Time Environmental Data Streaming and Analytics

As a startup committed to environmental conservation, we recognize the importance of timely data-driven insights to address environmental risks effectively. We are seeking a skilled data engineer to develop a state-of-the-art real-time data streaming and analytics platform. The core objective is to integrate diverse environmental data sources, such as sensor networks and satellite feeds, into a unified analytics architecture. This will involve setting up data pipelines using Apache Kafka for streaming, Spark for processing, and leveraging data warehouses like Snowflake or BigQuery for storage and analysis. The project aims to incorporate data observability tools and MLOps practices to ensure data accuracy and maintain analytical models effectively. Our end goal is to empower decision-makers with real-time insights to act swiftly on environmental challenges, ensuring compliance and enhancing sustainable practices.