26 to 50 of 90 Amazon Kinesis Jobs in England

REST based APIs for internal and external data delivery. Familiarity 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 ❯

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 ❯

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 ❯

Skills Required Knowledge of pipelines or real-time streaming data (e.g., Kafka, Kinesis). Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes). Experience with infrastructure-as-code tools (e.g., Terraform, CloudFormation). Experience with development, ETL tools, and frameworks (e.g., Apache Airflow, Talend, Fivetran). Proficiency in More ❯

high throughput, scalable, resilient, and secure data pipelines. Experience with AWS technologies: Glue, Athena, S3, Step Functions, Lambda, RDS (Aurora Postgres), DMS, Redshift, QuickSight, Kinesis Firehose. Expert knowledge of SQL. Hands-on experience with Kafka. Hands-on experience with Terraform. Hands-on experience with Python in a Data Analytics More ❯

have: Software engineering background Exposure to building or deploying AI/ML models into a production environment Previously used AWS data services e.g. S3, Kinesis, Glue, Athena, DynamoDB, SNS/SQS Experience using any data streaming technologies/paradigms for real-time or near-real time analytics More ❯

have: Software engineering background Exposure to building or deploying AI/ML models into a production environment Previously used AWS data services e.g. S3, Kinesis, Glue, Athena, DynamoDB, SNS/SQS Experience using any data streaming technologies/paradigms for real-time or near-real time analytics More ❯

at scale Excellent communication skills and the ability to work independently in a remote environment ? Bonus Points: Experience with real-time data streaming (Kafka, Kinesis) Exposure to data governance and security best practices in cloud environments Previous work in a high-compliance industry (finance, healthcare, etc.) Why Join? Work More ❯

Have excellent knowledge of AWS services (ECS, IAM, EC2, S3, DynamoDB, MSK). Our Technology Stack: Python and Scala Starburst and Athena Kafka and Kinesis DataHub ML Flow and Airflow Docker and Terraform Kafka, Spark, Kafka Streams and KSQL DBT AWS, S3, Iceberg, Parquet, Glue and EMR for our More ❯

knowledge from insurance, payments or equivalent domains. Building and orchestrating data pipelines and analytical processing for streaming data with technologies such as Kafka, AWS Kinesis or Azure Stream Analytics. Building data pipelines to support AI/ML solutions created in Mosaic AI/ML Flow. Background in software engineering More ❯

enterprise data and one other business domain. Building and orchestrating data pipelines and analytical processing for streaming data with technologies such as Kafka, AWS Kinesis or Azure Stream Analytics. Knowledge of data governance, privacy regulations (e.g. GDPR), and security best practices. Delivering data engineering and designing for cloud native More ❯

enterprise data and one other business domain. Building and orchestrating data pipelines and analytical processing for streaming data with technologies such as Kafka, AWS Kinesis or Azure Stream Analytics. Knowledge of data governance, privacy regulations (e.g. GDPR), and security best practices. Delivering data engineering and designing for cloud native 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 ❯

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 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 ❯

Live Tables, PyTest, Great Expectations (or similar). Building and orchestrating data and analytical processing for streaming data with technologies such as Kafka, AWS Kinesis or Azure Stream Analytics. Building data solutions for embedded analytics and/or SaaS product platforms. Knowledge of data governance, privacy regulations (e.g. GDPR More ❯

an agile environment Solid grasp of data security, access control, and compliance principles Exposure to real-time or streaming systems such as Kafka or Kinesis Knowledge of ML infrastructure or working with data for predictive modelling Comfort with infrastructure automation tools like Terraform or Kubernetes If this role interests More ❯

an agile environment Solid grasp of data security, access control, and compliance principles Exposure to real-time or streaming systems such as Kafka or Kinesis Knowledge of ML infrastructure or working with data for predictive modelling Comfort with infrastructure automation tools like Terraform or Kubernetes If this role interests More ❯

AWS managed services Maintaining and enhancing existing services written in Node, Java, and Kotlin Developing scalable, high-performance applications using AWS cloud technologies, including Kinesis for real-time data streaming Building and maintaining front-end applications using React (or similar frameworks) and TypeScript Writing clean, maintainable, and efficient code … in Golang for backend development Experience with AWS-managed services, particularly event-driven architectures, serverless, and real-time data processing (Lambda, SQS, SNS, DynamoDB, Kinesis, etc.) Strong understanding of RESTful microservice architectures Hands-on experience with React and TypeScript (or similar front-end frameworks) Familiar with git or other More ❯

AWS, GCP, Snowflake, Databricks) and Big Data processing (e.g., Apache Spark, Beam). Proficiency in key technologies like BigQuery, Redshift, Synapse, Pub/Sub, Kinesis, Event Hubs, Kafka, Dataflow, Airflow, and ADF. Strong ETL and data modeling skills. Proven ability to design and implement effective database solutions, ensure compliance More ❯

AWS, GCP, Snowflake, Databricks) and Big Data processing (e.g., Apache Spark, Beam). Proficiency in key technologies like BigQuery, Redshift, Synapse, Pub/Sub, Kinesis, Event Hubs, Kafka, Dataflow, Airflow, and ADF. Strong ETL and data modeling skills. Proven ability to design and implement effective database solutions, ensure compliance More ❯

in Databricks , Spark , Python , PySpark , and Delta Live Tables . Experience designing and delivering scalable data pipelines and streaming data processing (e.g., Kafka , AWS Kinesis , or Azure Stream Analytics ). Background in cloud environments such as AWS , Azure , or GCP . Familiarity with DevOps tools: Terraform , GitHub , CI/ More ❯

in Databricks , Spark , Python , PySpark , and Delta Live Tables . Experience designing and delivering scalable data pipelines and streaming data processing (e.g., Kafka , AWS Kinesis , or Azure Stream Analytics ). Background in cloud environments such as AWS , Azure , or GCP . Familiarity with DevOps tools: Terraform , GitHub , CI/ More ❯

code review). Big Data Eco-Systems, Cloudera/Hortonworks, AWS EMR, GCP DataProc or GCP Cloud Data Fusion. Streaming technologies and processing engines, Kinesis, Kafka, Pub/Sub and Spark Streaming. Experience of working with CI/CD technologies, Git, Jenkins, Spinnaker, GCP Cloud Build, Ansible etc. and More ❯