8 of 8 Spark Streaming Jobs in London

record of building and managing real-time data pipelines across a track record of multiple initiatives. Expertise in developing data backbones using distributed streaming platforms (Kafka, Spark Streaming, Flink, etc.). Experience working with cloud platforms such as AWS, GCP, or Azure for real More ❯

learning techniques, deep learning, graph data analytics, statistical analysis, time series, geospatial, NLP, sentiment analysis, pattern detection). Proficiency in Python, R, or Spark to extract insights from data. Experience with Data Bricks/Data QI and SQL for accessing and processing data (PostgreSQL preferred but general SQL … unit testing, version control, code review). Experience with Hadoop (especially the Cloudera and Hortonworks distributions), other NoSQL (especially Neo4j and Elastic), and streaming technologies (especially Spark Streaming). Deep understanding of data manipulation/wrangling techniques. Experience using development and deployment technologies (e.g. 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 ❯

record of building and managing real-time data pipelines across a track record of multiple initiatives. Expertise in developing data backbones using distributed streaming platforms (Kafka, Spark Streaming, Flink, etc.). Experience working with cloud platforms such as AWS, GCP, or Azure for real More ❯

security threats, actors and their techniques. Experience with data science, big data analytics technology stack, analytic development for endpoint and network security, and streaming technologies (e.g., Kafka, Spark Streaming, and Kinesis). • Strong sense of ownership combined with collaborative approach to overcoming challenges and More ❯

security threats, actors and their techniques. Experience with data science, big data analytics technology stack, analytic development for endpoint and network security, and streaming technologies (e.g., Kafka, Spark Streaming, and Kinesis). Strong sense of ownership combined with a collaborative approach to overcoming challenges 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 ❯