1 to 25 of 28 Amazon Kinesis Jobs in England

Engineers with hands-on experience and a knack for solving complex data challenges. AWS Expertise : Proven experience with services like AWS Glue, AWS Lambda, Amazon Kinesis, Amazon EMR, Amazon Athena, and AWS Step Functions. Programming Proficiency : Strong skills in Python , Java , or Scala . Data Storage more »

Engineers with hands-on experience and a knack for solving complex data challenges. AWS Expertise : Proven experience with services like AWS Glue, AWS Lambda, Amazon Kinesis, Amazon EMR, Amazon Athena, and AWS Step Functions. Programming Proficiency : Strong skills in Python , Java , or Scala . Data Storage more »

Engineers with hands-on experience and a knack for solving complex data challenges. AWS Expertise : Proven experience with services like AWS Glue, AWS Lambda, Amazon Kinesis, Amazon EMR, Amazon Athena, and AWS Step Functions. Programming Proficiency : Strong skills in Python , Java , or Scala . Data Storage more »

solutions Knowledge of configuration management tools and networking concepts Experience with high-volume time series data processing Familiarity with event-driven architectures using SQS, Kinesis, and SNS Background in configuration management tools (Ansible, Chef, Puppet more »

solutions Knowledge of configuration management tools and networking concepts Experience with high-volume time series data processing Familiarity with event-driven architectures using SQS, Kinesis, and SNS Background in configuration management tools (Ansible, Chef, Puppet more »

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

Oozie, S3, Glue, Athena, Terraform etc. Experience with schema design using semi-structured and structured data structures Experience on messaging technologies - Kafka, Spark Streaming, Amazon Kinesis Strong experience in SQL Good understanding of the differences and tradeoff between SQL and NoSQL, ETL and ELT Understanding of containerisation, Graph more »

by collaborating with stakeholders to understand and deliver on business requirements Requirements Strong experience with cloud platforms (including AWS S3, Redshift, Athena, RDS, Lambda, Kinesis, SQS/SNS, or similar services) Proficiency in Python and SQL Experience with modern orchestration and data transformation tools, such as DBT, Airflow, or more »

by collaborating with stakeholders to understand and deliver on business requirements Requirements Strong experience with cloud platforms (including AWS S3, Redshift, Athena, RDS, Lambda, Kinesis, SQS/SNS, or similar services) Proficiency in Python and SQL Experience with modern orchestration and data transformation tools, such as DBT, Airflow, or more »

/AWS Open Search AWS API Gateway ISTIO Front End Development: REACT Node.JS Storybook Reporting Architecture: Redshift Athena/QuickSight AWS Glue EMR DMS Kinesis/FireHose Why join Appvia? We are a self-funded, London based startup; providing businesses with a fast and secure way to deploy containerised more »

Scala, Java, or Python Experience building and developing Cloud-based applications or services, preferably in AWS Experience working with event streaming platforms (Kafka/Kinesis/SQS) Experience with distributed processing systems such as Apache Spark and/or Apache Flink Ability to handle periodic on-call duty as more »

on public cloud (AWS EKS and Kubernetes preferred). Experience working with data pipeline technologies, such as Kafka, Flink, AWS SNS/SQS/Kinesis, etc. Solid understanding of CI/CD concepts, including version control, branching models, appropriate quality control techniques, secrets management, and automated deployments. Another thing more »

Scala, Java, or Python Experience building and developing Cloud-based applications or services, preferably in AWS Experience working with event streaming platforms (Kafka/Kinesis/SQS) Experience with distributed processing systems such as Apache Spark and/or Apache Flink Ability to handle periodic on-call duty as more »

Java, Kotlin, Scala, Rust). Proven Stream Processing related experience (e.g., Flink, Kafka Streams, or similar). Experience with Distributed Messaging technologies (e.g., Kafka, Kinesis, or similar). Experience building Streaming Developer Tools & Platforms. Technical expertise with Big Data technologies (e.g., Spark, Hadoop, Ignite, or similar). Experience with more »

Java, Kotlin, Scala, Rust). Proven Stream Processing related experience (e.g., Flink, Kafka Streams, or similar). Experience with Distributed Messaging technologies (e.g., Kafka, Kinesis, or similar). Experience building Streaming Developer Tools & Platforms. Technical expertise with Big Data technologies (e.g., Spark, Hadoop, Ignite, or similar). Experience with more »

practice Strong engineering skills, preferably in the following toolsets - AWS services (S3, EC2, Lambda, Glue) - ETL Tools (e.g. Apache Airflow) - Streaming processing tools (e.g. Kinesis) - Snowflake - Python Excellent knowledge of creation and maintenance of data pipelines Strong problem-solving and analytical skills, with the ability to troubleshoot and resolve more »

Operating Systems and Virtualisation (Windows and Linux) • Infrastructure as Code and Operational Automation (e.g. Terraform, Ansible) • Message Queueing and Streaming Fabrics (e.g. AMQP, Kafka, Kinesis) • Docker and Kubernetes • Scripting (Shell and PowerShell) • Basic Coding with a bias for Infrastructure (Python, Go, C#) • IAM Policy and Authentication/Authorization schemes more »

Snowflake, Athena, Glue), In depth understanding of database structure principles, Strong knowledge of database structure systems and data mining, Excellent understanding of Data Modelling & Kinesis An understanding of SQL/database management. Strong hands-on experience in Data Warehouse and Data Lake technologies preferably around AWS. My client is more »

Snowflake, Athena, Glue), In depth understanding of database structure principles, Strong knowledge of database structure systems and data mining, Excellent understanding of Data Modelling & Kinesis An understanding of SQL/database management. Strong hands-on experience in Data Warehouse and Data Lake technologies preferably around AWS. My client is more »

concepts and principles of data modelling. Experience in modern data warehouse technologies like redshift, databricks etc In depth SQL knowledge. Streaming frameworks like Kafka, Kinesis etc Experience with a broad range of technologies would be a huge advantage. Some of the tools/technologies we use are Python, git more »

and our system must adapt quickly to these failures to provide a seamless experience for clients. XiP Compute Services are deployed onto OpenShift and Amazon's Elastic Kubernetes Service (EKS). An important initiative in 2025 will be onboarding Google's Kubernetes Engine to further expand our coverage. Our … Expert knowledge of Confluent Kafka. Experience and good understanding of core technologies provided by GCP/AWS, such as S3, FSX, EKS, SQS, SNS, Kinesis, AmazonMQ, DynamoDB, GKE, CloudStorage, PubSub, Filestore. Knowledge of modern observability technologies such as ELK, Splunk, Prometheus, Grafana, Micrometer. "What-if" thinking, while designing or more »

Have you ever ordered a product on Amazon and when that box-with-the-smile arrives, you wonder how it got to you so fast? Ever wondered where it came from and how much it cost Amazon? Wondered how Amazon designs its transportation network to scale and … TSA & CX) team is for you. We use mathematical models, business analytics, algorithm design and statistics to improve decision-making capabilities across Operations and Amazon Logistics. Our objective is to create a reference for what the ideal transportation network looks like and build scalable audit mechanisms to assess and … Experience diving into data to discover hidden patterns and of conducting error/deviation analysis Experience with AWS services including S3, Redshift, Sagemaker, EMR, Kinesis, Lambda, and EC2 Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high more »

a broad range of protocols like HTTP, TCP, gRPC, DNS etc Nice to haves GCP experience Advanced EC2 knowledge like spot fleets Experience with Amazon Neptune and Athena Experience with Kinesis or Kafka Experience with payment providers like Stripe, Google Play, Apple App Store Previous experience in dating more »

be excited to apply cutting-edge Generative AI algorithms to solve real-world problems with significant impact? Machine learning (ML) has been strategic to Amazon from the early years. We are pioneers in areas such as recommendation engines, product search, eCommerce fraud detection, and large-scale optimization of fulfillment … oriented language. Experience in cloud-based solutions (AWS or equivalent), system, network, and operating systems. Experience in databases (e.g., SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) and experience hosting and deploying ML solutions (e.g., for training, fine-tuning, and inferences). PREFERRED QUALIFICATIONS Masters or PhD degree in computer science … GNN, or distributed training and strong communication skills, with attention to detail and ability to convey rigorous mathematical concepts and considerations to non-experts. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on more »

AWS Data Solution Architect - Permanent - UK-Wide (Amazon Web Services) Salary guideline: £80,000 - £100,000 pa (DOE) + 10% Bonus, Pension up to 6% contributory, Health Insurance, Life Assurance etc. Base Location: UK Wide - Hybrid model - Onsite/Remote The Role: The Cloud Data Platforms team is part … DB/Neo4j/Elastic, Google Cloud Datastore. BigQuery and Data Studio/Looker. Snowflake Data Warehouse/Platform Streaming technologies and processing engines, Kinesis, Kafka, Pub/Sub and Spark Streaming. Experience of working CI/CD technologies, Git, Jenkins, Spinnaker, GCP Cloud Build, Ansible etc. Experience and more »