Real-time Data Pipeline Implementation for Infrastructure Monitoring

Our Civil Engineering startup is focused on revolutionizing infrastructure monitoring through real-time data insights. We are seeking an experienced data engineer to design and implement a data pipeline that will aggregate and process sensor data from various infrastructure projects, including bridges, roads, and buildings. The pipeline will leverage technologies such as Apache Kafka for event streaming, Spark for real-time data processing, and Airflow for orchestration. Our goal is to deploy a system capable of delivering insights in real-time, enabling proactive maintenance and reducing risks of structural failures. This project is critical as it addresses the increasing regulatory pressures for safety and compliance in civil infrastructure. The solution will utilize advanced analytics and MLOps practices, potentially integrating with platforms like Snowflake or BigQuery for data warehousing, and dbt for data transformations. The successful implementation will position us ahead in the market, offering clients a compelling reason to adopt our monitoring solutions.