We are seeking a skilled data engineer to optimize our real-time data pipelines to enhance learner engagement in our MOOC platform. By leveraging cutting-edge technologies like Apache Kafka and Spark, the project aims to provide insightful analytics that help tailor course offerings and improve user experience.
Educators and content creators on our MOOC platform seeking to enhance course effectiveness and learner satisfaction.
Our current data pipelines are not optimized for real-time processing, leading to delays in analytics that affect our ability to personalize and improve the learning experience.
Educational institutions are increasingly under pressure to demonstrate tangible improvements in learner outcomes, creating a strong willingness to invest in advanced analytics solutions for competitive advantage.
Failure to address these delays could result in decreased learner engagement and retention, ultimately leading to lost revenue and market share.
Current alternatives include batch processing which lacks the real-time insights necessary for timely decision-making and personalized learning pathways.
Our optimized pipeline will offer unparalleled real-time analytics capabilities, enabling immediate adjustments to course content that enhance learner engagement and satisfaction.
Our go-to-market strategy involves partnerships with educational institutions and targeted digital marketing campaigns to highlight improved learner outcomes through our platform’s enhanced analytics capabilities.