4 of 4 Event-Driven Jobs in Nottingham

command of workflow orchestration at scale using Apache Airflow or equivalent, integrated with Spark-based processing pip elinesProven expertise in Streaming Data and Event-Driven Architecture design, enabling real-time data flows at enterprise scaleHands-on architectural experience with AWS data services, including AWS Glue (Spark-based ...

Implementation and Integration Specializing in SOA, microservices, and event-driven architectures. Proficient in AWS, .NET, Web API, Node.js , and AngularJS. Stakeholder You’ll be happy working with your key stakeholder groups, informing, engaging, and being available to them. Principal Software Engineer, Nifty Gateway 108 E 16th Street ...

hands-on engineering role where you will work across the full lifecycle — from design through to deployment and live operations — building serverless, event-driven systems on AWS. You’ll be part of a cross-functional team working closely with product, platform, and DevOps engineers, with real ownership … doing AWS Cloud Engineering Designing and building serverless applications using AWS Lambda, API Gateway, DynamoDB, S3, SQS, and SNS. Developing scalable microservices and event-driven systems using Node.js and/or TypeScript. Owning features end-to-end including design, build, testing, deployment, and production support. Building and maintaining ...

Governance teams to deliver scalable and reusable data capabilities Champion modern data engineering patterns including Data Lakehouse architectures, ELT frameworks, Data Products and event-driven processing Influence technology choices, engineering standards and platform roadmaps while collaborating with Architecture and Enterprise Technology teams Improve platform reliability, scalability, observability … experience building Data Lakehouse platforms, Data Products and ELT/ETL frameworks supporting analytics, ML and AI workloads Expertise in streaming data architectures, event-driven systems and real-time data processing patterns Strong understanding of data modelling, data quality, metadata management, governance and data platform best practices Experience ...