4 of 4 Permanent Spark Streaming Jobs in the Thames Valley

internal RESTful and event-driven APIs. Establish best practices for versioning, documentation, security, and monitoring. Real-Time Data Architecture Build and manage data streaming pipelines using frameworks such as Spark, Kafka, or equivalents. Ensure high-availability and low-latency delivery of market and industry data. Azure … development role, with a proficiency in Python; comfortable working with other languages (e.g. C#, JavaScript) Hands-on experience building and operating real-time streaming solutions (e.g., Spark Streaming, Kafka, Event-Hub) Thorough understanding of Azure services (Functions, App Services, AKS). Proven design and More ❯

internal RESTful and event-driven APIs. Establish best practices for versioning, documentation, security, and monitoring. Real-Time Data Architecture Build and manage data streaming pipelines using frameworks such as Spark, Kafka, or equivalents. Ensure high-availability and low-latency delivery of market and industry data. Azure … development role, with a proficiency in Python; comfortable working with other languages (e.g. C#, JavaScript) Hands-on experience building and operating real-time streaming solutions (e.g., Spark Streaming, Kafka, Event-Hub) Thorough understanding of Azure services (Functions, App Services, AKS). Proven design and More ❯

internal RESTful and event-driven APIs. Establish best practices for versioning, documentation, security, and monitoring. Real-Time Data Architecture Build and manage data streaming pipelines using frameworks such as Spark, Kafka, or equivalents. Ensure high-availability and low-latency delivery of market and industry data. Azure … development role, with a proficiency in Python; comfortable working with other languages (e.g. C#, JavaScript) Hands-on experience building and operating real-time streaming solutions (e.g., Spark Streaming, Kafka, Event-Hub) Thorough understanding of Azure services (Functions, App Services, AKS). Proven design and More ❯

infrastructure. Build efficient data models for real-time analytics. Proven experience in managing real-time data pipelines across multiple initiatives. Expertise in distributed streaming platforms (Kafka, Spark Streaming, Flink). Experience with GCP (preferred), AWS, or Azure for real-time data ingestion and storage. More ❯