3 of 3 Spark Streaming Jobs in the North of England

AI-driven analytics and automation. By leveraging Azure-native services, such as Azure Data Factory (ADF) for orchestration, Delta Lake for ACID-compliant data storage, and Databricks Structured Streaming for real-time data processing, the Data Engineer will help unlock insights, enhance pricing accuracy, and drive innovation. The role also includes optimising Databricks query performance, implementing robust security … data and ensure FCA/PRA regulatory compliance. Innovation & Continuous Improvement – Identify and implement emerging data technologies within the Azure ecosystem, such as Delta Live Tables (DLT), Structured Streaming, and AI-driven analytics to enhance business capabilities. Skills, Knowledge And Expertise Hands-on experience in building ELT pipelines and working with large-scale datasets using Azure Data Factory … ADF) and Databricks. Strong proficiency in SQL (T-SQL, Spark SQL) for data extraction, transformation, and optimisation. Proficiency in Azure Databricks (PySpark, Delta Lake, Spark SQL) for big data processing. Knowledge of data warehousing concepts and relational database design, particularly with Azure Synapse Analytics. Experience working with Delta Lake for schema evolution, ACID transactions, and time More ❯

ensure high availability, resiliency, and scalability, including understanding and explaining features like KRAFT. 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. Implementing security measures to protect … on-premise/cloudera open source Kafka Focus on disaster recovery aspects Knowledge of Kafka resiliency and new features like KRAFT Experience with real-time technologies such as Spark 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 More ❯

recovery process/tools Experience in troubleshooting and problem resolution Experience in System Integration Knowledge of the following: Hadoop, Flume, Sqoop, Map Reduce, Hive/Impala, Hbase, Kafka, Spark Streaming Experience of ETL tools incorporating Big Data Shell Scripting, Python Beneficial Skills: Understanding of: LAN, WAN, VPN and SD Networks Hardware and Cabling set-up experience More ❯