1 to 25 of 41 Permanent Amazon Kinesis Jobs in London

job responsibilities The Data Analytics Consultant is an emerging leader with previous Data Analytics experience. The ideal candidate will have experience of design, development and operations using services like Amazon Kinesis, Apache Kafka, Apache Spark, Amazon SageMaker, Amazon EMR. The Data Analytics Consultant is comfortable rolling up their sleeves to design and code modules for infrastructure … 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 AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most … t achieve in the cloud. BASIC QUALIFICATIONS PREFERRED QUALIFICATIONS - Advanced degree (Masters or PhD) in Computer Science, Physics, Engineering, or Mathematics. - Experience with cloud technologies, particularly AWS services like Kinesis, and big data tools such as - Experience developing scalable, high-performance cloud software services. - AWS Certification(s), such as Solutions Architect Associate and/or Data Analytics Specialty. Amazon More ❯

managing attitude (Desirable) Detailed knowledge of using PostgreSQL or PostGIS in a production environment (Desirable) Typescript experience (Desirable) Have worked with core AWS services (S3, Lambda, DynamoDB, API Gateway, Kinesis, Cognito, or comparable services on other platforms) Working at Route Reports This role is hybrid, with occasional travel around the UK for customer visits. We have an office in More ❯

Lambda, Fargate, Cloud Run, et al.) and a clear understanding of when not to use them. Experience with message queues (SQS, PubSub, RabbitMQ etc.) and data pipelines (Kafka, Beam, Kinesis, etc.) You are an effective team player with effective communication, presentation and influencing skills. You have a passion for improving coding and development practices. You have worked with microservices More ❯

depth industry experience in software development & design Proven experience in one of the following: Typescript, Node.Js Experience with AWS or similar cloud providers, and serverless technologies e.g. AWS Lambda, Kinesis, DynamoDB, API Gateway A drive to get things done in a collaborative, agile development environment A proven ability to perform well in a fast-paced environment Excellent analytical and More ❯

and ML engineering domain on 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/CD - Github Actions/Jenkins More ❯

Upskill other platform engineers, data engineers and AI engineers to deliver and build adoption on your team's initiatives 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/CD - Github Actions/Jenkins More ❯

partner with stakeholders and other teams to define and deliver the right solution for the right business problem statement. 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/CD - Github Actions/Jenkins More ❯

Groovy, JSP, HTML, XML, SQL, Bash. Experience with build tools like Maven and Gradle. Knowledge of relational DBMS such as Postgres. Experience using AWS services via Terraform (Secrets Manager, Kinesis Firehose, S3, Open Search, etc.). Familiarity with monitoring tools like New Relic and Kibana for metrics and alerts. Experience with Docker, containers, Helm, Kustomize, and Kubernetes management tools. More ❯

and Go Preferred Qualifications: Proven ability to work on high and low-level designing Experience with Cloud Solution designs and setup for AWS, GCP and Azure Excellent understanding of Amazon Kinesis Data Streams Advanced Experience with RHEL Linux OS Commands Advanced Experience with Go & Python Scripting/Programming Soft Skills: Proven good communications skills Proven good problem-solving More ❯

and Go Preferred Qualifications: Proven ability to work on high and low-level designing Experience with Cloud Solution designs and setup for AWS, GCP and Azure Excellent understanding of Amazon Kinesis Data Streams Advanced Experience with RHEL Linux OS Commands Advanced Experience with Go & Python Scripting/Programming Soft Skills: Proven good communications skills Proven good problem-solving More ❯

and Go Preferred Qualifications: Proven ability to work on high and low-level designing Experience with Cloud Solution designs and setup for AWS, GCP and Azure Excellent understanding of Amazon Kinesis Data Streams Advanced Experience with RHEL Linux OS Commands Advanced Experience with Go & Python Scripting/Programming Soft Skills: Good communication skills Good problem-solving attitude Ability More ❯

and verbal skills, able to translate concepts into easily understood diagrams and visuals for both technical and non-technical people alike. AWS cloud products (Lambda functions, Redshift, S3, AmazonMQ, Kinesis, EMR, RDS (Postgres . Apache Airflow for orchestration. DBT for data transformations. Machine Learning for product insights and recommendations. Experience with microservices using technologies like Docker for local development. More ❯

career development opportunities Ability to evangelize next-generation infrastructure in analytics space (batch, near real-time, real-time technologies), using both SAS components and AWS tooling (e.g., Redshift, SQS, Kinesis) Strong familiarity with spatial-temporal data sets, with exposure to maritime data preferred Experienced in evaluating, training, and communicating the performance of ML models (e.g., supervised models, such as More ❯

platforms (AWS, GCP, or Azure) • Experience with: o Data warehousing and lake architectures o ETL/ELT pipeline development o SQL and NoSQL databases o Distributed computing frameworks (Spark, Kinesis etc) o Software development best practices including CI/CD, TDD and version control. o Containerisation tools like Docker or Kubernetes o Experience with Infrastructure as Code tools (e.g. More ❯

ZPA, AWS Identity Centre, Microsoft Entra AWS Backup, AWS Systems Manager, Security Hub, Guard Duty, Microsoft Defender Windows/Linux Operating Systems and Active Directory Cloudwatch, Cloudtrail, OpenSearch, Grafana, Kinesis Lambda, EKS, ECS and EC2 DocumentDB, DynamoDB, RDS, S3, OpenSearch EventBridge, Steps, Glue This position offers a hybrid working model , allowing for flexibility in your work environment. We are More ❯

successes to team members and Product Owners. Has experience of people management or desire to manage individuals on the team Nice to Have Experience with some of these- Kafka, Kinesis, Kinesis Analytics, Glue, Lambda, Kubernetes, ETL pipelines, BigQuery, Dataflow, BigTable, and SQL Enthusiastic about learning and applying new technologies (growth mindset). Ability to build new solutions and More ❯

event structures, attribution, retention, LTV , and other mobile metrics . Ability to collect and aggregate user data from mobile sources for analytics. Experience building real-time data pipelines (e.g., Kinesis, Kafka, Spark Streaming ). Hands-on CI/CD experience with GitHub . Startup or small team experience - the ability to quickly switch between tasks , suggest lean architectural solutions More ❯

range of disciplines and skill levels. • Experience working with Identity and Access Management systems. • Knowledge of AWS cloud infrastructure and services. Including experience with AWS; CDK, CloudFormation, Lambda, EC2, Kinesis, WAF, ALB. • Experience working on zero down time systems and providing live support in the event of service disruption. If you can bring some of these skills and experience More ❯

balancing technical excellence with business priorities and constraints Nice to have Experience building Data Mesh or Data Lake architectures. Familiarity with Kubernetes, Docker, and real-time streaming (e.g. Kafka, Kinesis). Exposure to ML engineering pipelines or MLOps frameworks. What's it like to work at Zego? Joining Zego is a career-defining move. People go further here, reaching More ❯

balancing technical excellence with business priorities and constraints Nice to have Experience building Data Mesh or Data Lake architectures. Familiarity with Kubernetes, Docker, and real-time streaming (e.g. Kafka, Kinesis). Exposure to ML engineering pipelines or MLOps frameworks. Whats it like to work at Zego? Joining Zego is a career-defining move. People go further here, reaching their More ❯

languages Proven experience building and operating scalable distributed systems and services within AWS cloud infrastructure or similar technologies. Designed and implemented distributed, event-driven systems using Kafka Streams, AWS Kinesis, or similar. Optimize for low-latency and high-throughput processing (1M+ TPS) microservices. Implemented auto-scaling , blue-green deployments , and canary releases andBuild and maintain SLAs, SLOs, and SLIs More ❯

What you'll be doing - your accountabilities Lead the design and implementation of robust, scalable, and secure data solutions using AWS services such as S3, Glue, Lambda, Redshift, EMR, Kinesis, and more-covering data pipelines, warehousing, and lakehouse architectures. Drive the migration of legacy data workflows to Lakehouse architectures, leveraging Apache Iceberg to enable unified analytics and scalable data More ❯

automated tests to ensure the quality and reliability of our cloud-based applications. Requirements : Java, Java Springboot , JEST ( good to have ) , typescript ( good to have) , AWS services knowledge ( Lambda, kinesis stream, SQS, Eventbridge) , BDD framework cucumber ( good to have ), CI/CD pipelines and DevOps practices. Key Responsibilities: Design, develop, and execute automated tests using the Java Springboot framework. More ❯

automated tests to ensure the quality and reliability of our cloud-based applications. Requirements : Java, Java Springboot , JEST ( good to have ) , typescript ( good to have) , AWS services knowledge ( Lambda, kinesis stream, SQS, Eventbridge) , BDD framework cucumber ( good to have ), CI/CD pipelines and DevOps practices. Key Responsibilities: Design, develop, and execute automated tests using the Java Springboot framework. More ❯

languages Proven experience building and operating scalable distributed systems and services within AWS cloud infrastructure or similar technologies. Designed and implemented distributed, event-driven systems using Kafka Streams, AWS Kinesis, or similar. Optimize for low-latency and high-throughput processing (1M+ TPS) microservices. Implemented auto-scaling , blue-green deployments , and canary releases andBuild and maintain SLAs, SLOs, and SLIs More ❯