1 to 25 of 74 Amazon Kinesis Jobs in the UK

the latest data analytics technologies? Would you like a career path that enables you to progress with the rapid adoption of cloud computing? At Amazon Web Services, we're hiring highly technical cloud architect specialised in data analytics to collaborate with our customers and partners to derive business value … Key job responsibilities Expertise - Collaborate with pre-sales and delivery teams to help partners and customers learn and use services such as AWS Glue, Amazon S3, Amazon DynamoDB, Amazon Relational Database Service (RDS), Amazon Elastic Map Reduce (EMR), Amazon Kinesis, Amazon Redshift, Amazon Athena, AWS Lake Formation, Amazon DataZone, Amazon SageMaker and Amazon Quicksight. Solutions - Deliver technical engagements with partners and customers. This includes participating in pre-sales visits, understanding customer requirements, creating consulting proposals and creating packaged data analytics service offerings. Delivery - Engagements include projects proving the use More ❯

help them achieve business outcomes with AWS. Our projects are often unique, one-of-a-kind endeavors that no one has done before. At Amazon Web Services (AWS), we are helping large enterprises build AI solutions on the AWS Cloud. We apply predictive technology to large volumes of data … our customers. You will leverage the global scale, elasticity, automation, and high-availability features of the AWS platform. You will build customer solutions with Amazon SageMaker, Amazon Bedrock, Amazon Elastic Compute (EC2), Amazon Data Pipeline, Amazon S3, Glue, Amazon DynamoDB, Amazon Relational Database … Service (RDS), Amazon Elastic Map Reduce (EMR), Amazon Kinesis, AWS Lake Formation, and other AWS services. You will collaborate across the whole AWS organization, with other consultants, customer teams, and partners on proof-of-concepts, workshops, and complex implementation projects. You will innovate and experiment to help More ❯

Sr. Amazon Q Builder, Amazon Q Customer Success Team (Q-CST) Job ID: Amazon Web Services Australia Pty Ltd AWS is known for its unwavering customer obsession. Our Professional Services teams are on the front line of helping customers succeed using AWS technologies that align with the … new ways of managing people and rearchitecting critical processes to leverage the capabilities of Gen AI. Amazon Q-CST Customer Success Team (CST) members leverage their deep knowledge of AWS data services and data analytics in collaboration with our sales and partner teams to propose, architect, and implement transformational … AI services as an enabler. Q-CST Builders are responsible for architecting and developing end-to-end solutions that leverage Generative AI technologies like Amazon Q and Bedrock. This role involves designing and implementing robust solution blueprints that seamlessly integrate Generative AI capabilities into existing systems or applications. Builders 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 ❯

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 ❯

web application development with Node.js, TypeScript, React.js, Next.js, and React Native. Experience with AWS Serverless Services (Lambda, API Gateway, DynamoDB, S3, SNS, SQS, EventBridge, Kinesis). 5+ years of commercial development experience. Ability to provide technical leadership and mentorship to the team. Proficiency in TypeScript, with a bonus if More ❯

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 ❯

a lot. It's not exhaustive, but gives you a taste of what our stack and tools look like: React, Node.js; Heroku; AWS Lambda, Kinesis, and DynamoDB Handlebars; Sass; Webpack; Preact Fastly and VCL Github; CircleCI; Open Telemetry; Grafana; Splunk We don't expect you to have worked with More ❯

technical approaches to balance delivering near-term commercial impact and building long-term foundations. Our Tech Stack Cloud Data Warehouse - Snowflake AWS Data Solutions - Kinesis, SNS, SQS, S3, ECS, Lambda Data Governance & Quality - Collate & Monte Carlo Infrastructure as Code - Terraform Data Integration & Transformation - Python, DBT, Fivetran, Airflow CI/ More ❯

Amazon Marketing team is working on a platform that will provide real-time insights of traffic, sales, deals, engagement and is looking for a rock star data engineer to build this. At Amazon, understanding customer data is paramount to our success in making it Earth's most measurably … effective marketing organization. This cuts across all of the investments we do across various verticals of A.in, Prime, Fashion, Fresh, Pay etc. At Amazon you will be working in one of the world's largest and most complex data environments. You will be part of a team that will … work with the marketing, retail, finance, analytics, machine learning, and technology teams to provide real-time data processing solutions that give Amazon leadership, marketers, and PMs timely, flexible, and structured access to customer insights. The team will be responsible for building this platform end to end using the latest More ❯

financial services , fintech , or other regulated domains. Exposure to infrastructure-as-code (Terraform, CloudFormation). Familiarity with data pipelines or streaming systems (e.g., Kafka, Kinesis). Contributions to open source or community involvement. What We Offer Competitive salary and equity package Flexible working hours and remote-friendly culture Personal 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 ❯

financial services, fintech, or other regulated domains. Exposure to infrastructure-as-code (Terraform, CloudFormation). Familiarity with data pipelines or streaming systems (eg, Kafka, Kinesis). Contributions to open source or community involvement. What We Offer Competitive salary and equity package Flexible working hours and remote-friendly culture Personal More ❯

financial services , fintech , or other regulated domains. Exposure to infrastructure-as-code (Terraform, CloudFormation). Familiarity with data pipelines or streaming systems (e.g., Kafka, Kinesis). Contributions to open source or community involvement. What We Offer Competitive salary and equity package Flexible working hours and remote-friendly culture Personal More ❯

financial services , fintech , or other regulated domains. Exposure to infrastructure-as-code (Terraform, CloudFormation). Familiarity with data pipelines or streaming systems (e.g., Kafka, Kinesis). Contributions to open source or community involvement. What We Offer Competitive salary and equity package Flexible working hours and remote-friendly culture Personal More ❯

Optimize code for low latency and high throughput to handle large-scale vehicle data processing efficiently Utilize AWS services such as EC2, S3, Lambda, Kinesis, DynamoDB, and RDS for cloud-native application development Implement containerization (Docker, Kubernetes) and serverless architectures where applicable Implement best practices for secure data transmission More ❯

Proficiency in Go and Python programming languages Extensive experience with Terraform and infrastructure as code (IaC) principles Strong knowledge of AWS services, including ECS, Kinesis, DynamoDB, and Lambda Proficiency in CI/CD tools, particularly Jenkins and Spinnaker Familiarity with monitoring and observability tools such as CloudWatch and Datadog More ❯

skills. Excellent communication interpersonal and presentation skills. Desired Skills: Experience with containerization technologies (e.g. Docker Kubernetes). Experience with data streaming platforms (e.g. Kafka Kinesis). Experience with data visualization and business intelligence tools. Experience with Agile development methodologies. AWS Certifications (e.g. AWS Certified Data Analytics - Specialty AWS Certified More ❯

structured and unstructured data from multiple sources, ensuring efficient data ingestion, transformation, and storage. Develop and optimize data lake and data warehouse solutions using Amazon S3, Redshift, Athena, and Lake Formation. Implement data governance, security, and compliance best practices, including IAM roles, encryption, and access controls. Monitor and optimize 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 ❯

how to create scalable multi-region applications Experience with the following technologies: AWS Serverless and serverless-supported languages DB (ex, Postgresql, CockroachDB) Streaming technologies (Amazon Kinesis, Kafka) Message Queues (SQS, RabbitMQ, ActiveMQ) Experience working with agile development Experience with containerization (Docker, Kubernetes, etc) Experience with Micro-Service and More ❯

based APIs for internal and external data delivery. Familiarity with one or more of the following would also be beneficial: Scala AWS services like Kinesis, RDS, Elasticache, S3, Athena, Data pipeline, Glue, Lambda, EMR, Spark, EC2, ECS, CloudWatch or Elastic Beanstalk Jenkins or similar tools would also be a More ❯

Job ID: AWS EMEA SARL (UK Branch) Amazon Web Services (AWS) is the leading cloud provider, providing virtualized infrastructure, storage, networking, messaging, and many other services to customers all over the world. AWS runs a globally distributed environment, operating at massive levels of scale. Businesses, from start-ups to … enterprises, run their operations and applications on AWS' multi-tenant infrastructure. About Amazon Security Diverse Experiences Amazon Security values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is … just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why Amazon Security? At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar More ❯