9 of 9 Permanent Spark Streaming Jobs in the UK

Kafka clusters to ensure high availability and scalability. Integrating Kafka with other data processing tools and platforms such as Kafka Streams, Kafka Connect, Spark Streaming Schema Registry, Flink and Beam. Collaborating with cross-functional teams to understand data requirements and design solutions that meet business needs. … Required Skills Experience : Extensive Experience with Apache Kafka and real-time architecture including event driven frameworks. Strong Knowledge of Kafka Streams, Kafka Connect, Spark Streaming, Schema Registry, Flink and Beam. Experience with cloud platform such as GCP Pub/Sub. Excellent problem-solving skills. Knowledge & Experience More ❯

Kafka clusters to ensure high availability and scalability. Integrating Kafka with other data processing tools and platforms such as Kafka Streams, Kafka Connect, Spark Streaming Schema Registry, Flink and Beam. Collaborating with cross-functional teams to understand data requirements and design solutions that meet business needs. … Required Skills Experience : Extensive Experience with Apache Kafka and real-time architecture including event driven frameworks. Strong Knowledge of Kafka Streams, Kafka Connect, Spark Streaming, Schema Registry, Flink and Beam. Experience with cloud platform such as GCP Pub/Sub. Excellent problem-solving skills. Knowledge & Experience 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 ❯

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 ❯

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 ❯

a proactive approach to addressing business data needs and ensuring optimal system performance. Key Responsibilities: Design & Architecture: Architect and design scalable, real-time streaming systems using Apache Kafka, ensuring they are robust, highly available, and meet business requirements for data ingestion, processing, and real-time analytics. Kafka Cluster … troubleshoot issues to maintain smooth operations. Integration & Data Processing: Integrate Kafka with key data processing tools and platforms, including Kafka Streams , Kafka Connect , Apache Spark Streaming , Apache Flink , Apache Beam , and Schema Registry . This integration will facilitate data stream processing, event-driven architectures, and continuous More ❯

a proactive approach to addressing business data needs and ensuring optimal system performance. Key Responsibilities: Design & Architecture: Architect and design scalable, real-time streaming systems using Apache Kafka, ensuring they are robust, highly available, and meet business requirements for data ingestion, processing, and real-time analytics. Kafka Cluster … troubleshoot issues to maintain smooth operations. Integration & Data Processing: Integrate Kafka with key data processing tools and platforms, including Kafka Streams , Kafka Connect , Apache Spark Streaming , Apache Flink , Apache Beam , and Schema Registry . This integration will facilitate data stream processing, event-driven architectures, and continuous More ❯