5 of 5 Remote/Hybrid Distributed Computing Jobs in Northern Ireland

team.Component Design: Design scalable application components, microservices, and data integration layers to support high-throughput regulatory reporting.Big Data Processing: Develop and optimize distributed data processing jobs using Apache Spark, Hadoop, and Hive to aggregate and transform large-scale financial datasets.Real-Time Streaming: Build and maintain real-time data ingestion … Extensive experience building microservices and RESTful APIs using Spring Boot, Spring Cloud, Spring Data, and Spring Security.Big Data Technologies: Strong, hands-on experience with distributed computing frameworks, specifically Apache Spark, Hadoop, and Hive. Proven ability to write and optimize complex Spark jobs.Real-Time Streaming: Practical experience designing ...

team. Component Design: Design scalable application components, microservices, and data integration layers to support high-throughput regulatory reporting. Big Data Processing: Develop and optimize distributed data processing jobs using Apache Spark, Hadoop, and Hive to aggregate and transform large-scale financial datasets. Real-Time Streaming: Build and maintain real … experience building microservices and RESTful APIs using Spring Boot , Spring Cloud, Spring Data, and Spring Security. Big Data Technologies: Strong, hands-on experience with distributed computing frameworks, specifically Apache Spark , Hadoop , and Hive . Proven ability to write and optimize complex Spark jobs. Real-Time Streaming: Practical experience ...

scaling KDB+ solutions. Strong knowledge of market data, trading systems, or real-time analytics. Experience with data pipelines, cloud-based KDB+ deployments, and distributed computing. Ability to lead projects, optimize system architecture, and mentor junior developers. Preferred Qualifications (for all levels): Experience with high-frequency trading, quantitative finance ...

depth commercial experience in the following key areas:* Databricks – Lakehouse architecture, Spark, Delta Lake, workflows and performance tuning.* Apache Spark & Scala – High-performance distributed data processing and optimisation.* Cloud Data Engineering (AWS) – Cloud-native data platforms and distributed computing.* Data Services Architecture & Engineering – Distributed processing, reprocessing, streaming ...

ExperienceEssentialProven in-depth commercial experience in the following key areas:Databricks – Lakehouse architecture, Spark, Delta Lake, workflows and performance tuning.Apache Spark & Scala – High-performance distributed data processing and optimisation.Cloud Data Engineering (AWS) – Cloud-native data platforms and distributed computing.Data Services Architecture & Engineering – Distributed processing, reprocessing, streaming ...