Our SME in the Security & Surveillance industry seeks an experienced data engineer to build a real-time data pipeline. Leveraging cutting-edge technologies like Apache Kafka and Spark, the project aims to enhance our surveillance system's data processing and analytics capabilities, providing timely and actionable insights.
Security firms, property management companies, and organizations requiring advanced surveillance systems for real-time threat detection and response.
The current surveillance data processing infrastructure is insufficient for real-time analytics, hindering the ability to detect and respond to security threats promptly.
Entities are willing to invest due to compliance needs, potential cost savings from reduced losses, and a desire for enhanced competitive advantage.
Failure to address this issue could result in increased security breaches, loss of property, and competitive disadvantage in offering cutting-edge security solutions.
Existing alternatives are batch-processing systems that do not provide the immediacy needed for modern security applications, creating a gap in effective threat response.
The proposed solution differentiates itself by integrating real-time analytics with machine learning models for predictive insights, offering a competitive edge in threat response.
We plan to leverage industry partnerships and attend security technology expos to showcase our enhanced surveillance capabilities to potential clients.