1 to 25 of 32 Amazon Kinesis Jobs in the UK excluding London

JUnit, NodeJS, PHP with Laravel or Zend, Python Additional Technology: Apache & NGINX, AWS, Jenkins, DynamoDB, PostgreSQL, Redis & Oracle, Docker & Kubernetes, ElasticSearch & Kibana, Grafana & Prometheus, Kinesis Our commitment to equity, diversity and inclusion At giffgaff we want to challenge the old way of doing things. People, and the way they More ❯

what the world has to offer. ABOUT THE ROLE Tech Stack Backend : AWS Serverless Service, including Lambda, API Gateway, DynamoDB, S3, SNS, SQS, EventBridge, Kinesis, Node.js, YAML Frontend : React/Next.js, React Native Programming Languages : TypeScript; JavaScript, Python Infrastructure : Terraform, GitHub CI/CD pipelines Responsibilities Provide technical leadership More ❯

Looking For Extensive hands-on experience in backend development with Node.js & TypeScript. Solid expertise with AWS services (ECS, Lambda, RDS, DynamoDB, SQS, SNS, S3, Kinesis, etc.). Proficiency in infrastructure as code (Terraform, Docker). Experience working with Postgres/MySQL databases. A problem solver who takes ownership and More ❯

action. Tech Stack Includes: Languages & Frameworks: Node.js, TypeScript, Mocha, Sinon Infrastructure & Tools: Terraform, Docker, Git, GitLab CI/CD Cloud Services: AWS (ECS, EC2, Kinesis, Firehose, RDS, Lambda, S3, DynamoDB, SQS, SNS) Databases: PostgreSQL, MySQL Experience required: Significant commercial experience as a backend developer. Strong problem-solving abilities and More ❯

year Requirements Extensive hands-on experience in backend development with Node.js & TypeScript. Solid expertise with AWS services (ECS, Lambda, RDS, DynamoDB, SQS, SNS, S3, Kinesis, etc.). Proficiency in infrastructure as code (Terraform). More ❯

databases (MySQL, MSSQL preferred) Experience supporting NoSQL and caching systems (Redis, MongoDB, DynamoDB, ElastiCache, etc) Understanding of Event driven architecture and related systems (Kafka, Kinesis, SNS, Redshift) Additional Information The salary range for this role is $112,000 - $178,000 per year. Where you fall within the compensation range More ❯

Demonstrated ability to swiftly learn new technologies. Familiarity with containerisation and Kubernetes. Practical production knowledge of service-oriented architectures. Experience with streaming technologies (AWS Kinesis, Kafka, etc.). What My Client Offers: Unlock unparalleled growth and career development opportunities by applying via the link or reaching out to Ryan More ❯

NoSQL databases. Secure development practices. Git-based source control. Knowledge of CI automation systems such as Jenkins Bonus points for: Event streaming (e.g. Kafka, Kinesis) and change data capture (CDC). Messaging (e.g. RabbitMQ, SQS). Docker and Kubernetes. Solution and architecture design. Test-driven development (TDD). AWS More ❯

Java, Python or equivalent. Conceptual understanding of software development principles and the SDLC. Experience using AWS Technologies such as EC2, Lambda, API Gateway, EventBridge, Kinesis, ECS, CDK etc. Experience of REST API, Websockets and best practices Experience using RDBMS and NoSQL Technologies Experience of working with Microservices, Infrastructure as More ❯

Java, Python or equivalent. Conceptual understanding of software development principles and the SDLC. Experience using AWS Technologies such as EC2, Lambda, API Gateway, EventBridge, Kinesis, ECS, CDK etc. Experience of REST API, Websockets and best practices Experience using RDBMS and NoSQL Technologies Experience of working with Microservices, Infrastructure as More ❯

ever-greater contribution to our product experience. You'll typically be working in Java or Python, and with a technology stack that includes AWS, Kinesis, S3, Kubernetes, Spark, Airflow, gRPC, New Relic, Databricks, and more. This role requires expertise in distributed systems, microservices, and data pipelines, combined with a More ❯

Java. Strong knowledge of relational and NoSQL databases. Git-based source control. Knowledge of CI automation systems such as Jenkins. Event streaming (e.g. Kafka, Kinesis) and change data capture (CDC). Docker and Kubernetes. Solution and architecture design. Previous experience working in e-commerce and/or financial services. More ❯

Java. Strong knowledge of relational and NoSQL databases. Git-based source control. Knowledge of CI automation systems such as Jenkins. Event streaming (e.g. Kafka, Kinesis) and change data capture (CDC). Docker and Kubernetes. Solution and architecture design. Previous experience working in e-commerce and/or financial services. More ❯

Java. Strong knowledge of relational and NoSQL databases. Git-based source control. Knowledge of CI automation systems such as Jenkins. Event streaming (e.g. Kafka, Kinesis) and change data capture (CDC). Docker and Kubernetes. Solution and architecture design. Previous experience working in e-commerce and/or financial services. More ❯

Java. Strong knowledge of relational and NoSQL databases. Git-based source control. Knowledge of CI automation systems such as Jenkins. Event streaming (e.g. Kafka, Kinesis) and change data capture (CDC). Docker and Kubernetes. Solution and architecture design. Previous experience working in e-commerce and/or financial services. More ❯

Experience developing, testing, and deploying data pipelines, data lakes, data warehouses, and data marts using ideally AWS services such as S3, Glue, Athena, EMR, Kinesis, and Lambda Understanding of the principles behind designing and implementing data lake, lake house and/or data mesh architecture Problem solving skill with More ❯

SQL for Databricks and Spark (including Delta, Delta Live Tables, PyTest, Great Expectations). Expertise in batch and streaming data processing using Kafka, AWS Kinesis, or Azure Stream Analytics. Hands-on experience in cloud-native data platforms (AWS, Azure, or Databricks). Knowledge of data governance, privacy laws (e.g. More ❯

ever-greater contribution to our product experience. You'll typically be working in Java or Python, and with a technology stack that includes AWS, Kinesis, S3, Kubernetes, Spark, Airflow, gRPC, New Relic, Databricks, and more. This role requires expertise in distributed systems, microservices, and data pipelines, combined with a More ❯

warehousing principles, data modelling practice, Excellent knowledge of creation and maintenance of data pipelines - ETL Tools (e.g. Apache Airflow) and Streaming processing tools (e.g. Kinesis) Strong problem-solving and analytical skills, with the ability to troubleshoot and resolve complex data-related issues Proficient in data integration techniques including APIs More ❯

warehousing principles, data modelling practice, Excellent knowledge of creation and maintenance of data pipelines - ETL Tools (e.g. Apache Airflow) and Streaming processing tools (e.g. Kinesis) Strong problem-solving and analytical skills, with the ability to troubleshoot and resolve complex data-related issues Proficient in data integration techniques including APIs More ❯

warehousing principles, data modelling practice, ·Excellent knowledge of creation and maintenance of data pipelines - ETL Tools (e.g. Apache Airflow) and Streaming processing tools (e.g. Kinesis) ·Strong problem-solving and analytical skills, with the ability to troubleshoot and resolve complex data-related issues ·Proficient in data integration techniques including APIs More ❯

experience developing, testing, and deploying data pipelines, data lakes, data warehouses, and data marts using ideally AWS services such as S3, Glue, Athena, EMR, Kinesis, and Lambda. Experience of major operating platforms and their linkage, connectivity functions and issues. Cloud Security - Experience/skills of addressing concept issues and More ❯

like Airflow, Airbyte, Fivetran AWS S3, Athena, Delta Lake/Lakehouse architectures Python or Scala for ingestion + transformation Batch + streaming data (Kafka, Kinesis, Flink a plus) Looking for someone who has scaled pipelines , built with data quality and throughput in mind , and ideally worked in FinTech or More ❯

The data platform team ensures consistent, timely, and accurate data delivery to consumers, while maintaining scalable and efficient pipelines. Our stack consists of: AWS Kinesis Databricks DLT PowerBI/Fabric SQL Server On a day-to-day basis, you will: Develop and maintain new and existing data pipelines. Collaborate More ❯

pipeline to deliver high-velocity, production-ready systems This Role Requires: Strong Java skills Experience with live-streaming technologies such as Kafka, Flink or Kinesis Solid understanding of event-driven architecture Experience with CI/CD practices and tools Familiarity with microservices and modern cloud-based platforms Exposure to More ❯