1 to 12 of 12 Amazon Kinesis Jobs in the UK excluding London

COUNTRIES OVER 1,400 ACTIVE GLOBAL CLIENTS Job Description: Work with our customers and focus on our AWS Analytics and ML service offerings such Amazon Kinesis, AWS Glue, Amazon Redshift, Amazon EMR, Amazon Athena, Amazon Sagemaker and more. Help our customers to remove the … Solution Architects, Data Scientists and Service Engineering teams Experience with design, development and operations that leverages deep knowledge in the use of services like Amazon Kinesis, Apache Kafka, Apache Spark, Amazon Sagemaker, Amazon EMR, NoSQL technologies and other 3rd parties Develop and define key business questions … experience, in Computer Science, Engineering, Mathematics or a related field Experience of Data platform implementation, including hands-on experience in implementation and performance tuning Kinesis/Kafka/Spark/Storm implementations Experience with analytic solutions applied to the Marketing or Risk needs of enterprises Basic understanding of machine more »

Diversity and Inclusion. Role : Machine Learning engineer Key Responsibilities Work with our customers and focus on our AWS Analytics and ML service offerings such Amazon Kinesis, AWS Glue, Amazon Redshift, Amazon EMR, Amazon Athena, Amazon Sagemaker and more. Help our customers to remove the … Solution Architects, Data Scientists and Service Engineering teams Experience with design, development and operations that leverages deep knowledge in the use of services like Amazon Kinesis, Apache Kafka, Apache Spark, Amazon Sagemaker, Amazon EMR, NoSQL technologies and other 3rd parties Develop and define key business questions … Science, Engineering, Mathematics or a related field Experience of Data platform implementation, including 3 years of hands-on experience in implementation and performance tuning Kinesis/Kafka/Spark/Storm implementations Experience with analytic solutions applied to the Marketing or Risk needs of enterprises Basic understanding of machine more »

Diversity and Inclusion. Role : Machine Learning engineer Key Responsibilities Work with our customers and focus on our AWS Analytics and ML service offerings such Amazon Kinesis, AWS Glue, Amazon Redshift, Amazon EMR, Amazon Athena, Amazon Sagemaker and more. Help our customers to remove the … Solution Architects, Data Scientists and Service Engineering teams Experience with design, development and operations that leverages deep knowledge in the use of services like Amazon Kinesis, Apache Kafka, Apache Spark, Amazon Sagemaker, Amazon EMR, NoSQL technologies and other 3rd parties Develop and define key business questions … Science, Engineering, Mathematics or a related field Experience of Data platform implementation, including 3+ years of hands-on experience in implementation and performance tuning Kinesis/Kafka/Spark/Storm implementations Experience with analytic solutions applied to the Marketing or Risk needs of enterprises Basic understanding of machine more »

and apply that knowledge. Desirable skills: Familiarity with containerisation and Kubernetes. Practical production knowledge of service-oriented architectures. Experience with streaming technologies (e.g., AWS Kinesis, Kafka, etc.). What we offer: This is a secure role in a highly impressive business with a great track record. In this market more »

Master's preferred) 7+ years as a Network Engineer/Architect, with focus on SDN, AWS, Azure, and security Hands-on with AWS (Lambda, Kinesis, DynamoDB, S3) and Azure for serverless apps Deep knowledge of network security (firewalls, IDPS), reducing security incidents by 70% Certifications: CCNP, CCIE, AWS Certified more »

/C++, Python, Go or C# React, Vue.JS, Angular, TypeScript, JavaScript NodeJS, Spring Boot, PHP Mongo, MySQL, PostgreSQL, GraphQL Apache Kafka, Ni-Fi, RabbitMQ, Amazon Kinesis AWS, Azure Microservice architecture, Agile experience, Infrastructure as Code, serverless, event-driven architecture, RESTful APIs Dont look at the above as a more »

/SpringBoot Experience with the following technologies is helpful, but not required: AWS Serverless and serverless-supported languages DB (ex, Postgresql, CocroachDB) Streaming technologies (Amazon Kinesis, Kafka) Message Queues (SQS, RabbitMQ, ActiveMQ) Willingness to work within an agile development Willingness to learn new technologies, architectures, and coding paradigms more »

useful. Additional experience in any of the following would also be great: Node.js, Typescript, GraphQL Experience with AWS or serverless technologies e.g. AWS Lambda, Kinesis, DynamoDB, API Gateway Building Microservices and APIs within an Event Driven Architecture environment. Experience building CI/CD pipelines: GoCD, Jenkins, Bamboo, etc Infra more »

above) Demonstrable experience of skills in the following AWS tools: - AWS core services, including EC2, S3, RDS, Glue Data Quality, Glue Studio, Glue DataBrew, Kinesis, SNS, CloudWatch, EventBridge, Step Functions, Macie and VPC Experience of skills in the following tools/domains: - ETL and Data Cleansing - Data Lake, Warehouse more »

using Python and the AWS Cloud Development Kit. You'll use a variety of services such as SNS, SQS and Lambda for event streams, Amazon Redshift, S3 and AWS Glue for data storage & reporting and Amazon SageMaker for our pioneering machine learning products. We are a growing team … products and the communication skills to work with our colleagues across ECS to help them use our services. Python andAWS Services such as S3, Kinesis, Lambda, Redshift, DynamoDB, Glue and SageMaker Infrastructure-as-Code tools and approaches (we use the AWS CDK with CloudFormation) Data processing frameworks such as more »

certifications on the training platform of your choice. As a Senior Solution architect, you'll be implementing and driving large-scale cloud implementations on Amazon AWS. Other duties include: Architecting and implementing cloud solutions for different applications, automating cloud operations and cloud deployments Assume responsibility for the architecture of … consulting with application development teams on same Cloud technology, ideally AWS including PaaS services such as S3, Lambda, Step Functions, ECS, Docker, SNS, SQS, Kinesis, SageMaker etc. Understanding of distributed application design, patterns, and experience producing design diagrams and documenting standards Qualifications Security Clearance eligible. You musthavethe right to more »

our objectives. So each team leverages the technology that fits their needs best. You’ll see us working with data processing/streaming like Kinesis; application technologies like PostgreSQL, Redis & DynamoDB; and breaking things using in-house chaos principles and tools such as Gatling to drive load… all deployed … Monitoring and optimising applications, especially those written for the JVM Relational and NoSQL databases, particularly PostgreSQL, Aurora, & DynamoDB with experience modelling & optimising query performance Kinesis or any other streaming data The Perks 25 days annual leave Private medical insurance & dental care Free Park Entry: You will have the opportunity more »