6 of 6 Remote/Hybrid Amazon Kinesis Jobs in the UK excluding London

workflows, code reviews, and CI/CD practices. Preferred Qualifications: Experience with Azure cloud services. Exposure to streaming or event-driven architectures (e.g., Kafka, Kinesis). Experience with infrastructure as code (e.g., Terraform) and containerisation (e.g., Docker, Kubernetes). Understanding of data governance, lineage, cataloguing, and security best practices. ...

reviews, and CI/CD practices. Preferred Qualifications: Have used Azure cloud services previously Experience with streaming/event-driven systems e.g., Kafka/Kinesis Experience with infrastructure as code e.g., Terraform and containerization e.g., Docker/Kubernetes Familiarity with data governance, cataloging, lineage, and privacy/security best ...

Develop and support real-time streaming pipelines and event-driven integrations. Integrate data from multiple sources (streaming, batch, APIs) using AWS managed services (e.g., Kinesis, MSK, Lambda, Glue). Data Architecture & Standards Contribute to data modelling, data architecture best practices, and modern patterns (e.g., medallion architecture). Ensure data ...

Skills & Experience: Strong backend or platform engineering experience, ideally within IoT or distributed systems Deep knowledge of AWS Technologies (IoT Core, Lambda, DynamoDB, Kinesis, SQS, API Gateway) Proficiency in Python, Node.js, Go, or Java Experience with MQTT and event-driven architectures Proven track record of building scalable data ingestion ...

commercial software engineering experience - Go, Python, Typescript, node etc - Solid rational database exposure - MySQL, Postgres - A well rounded skill set in streaming systems - Kafa, Kinesis etc - Strong AWS deployment exposure - Understanding of column-oriented databases - BigQuery, ClickHouse etc - A product focussed, business first approach to engineering - Experience working ...

project Tools like Databricks, Snowflake and Synapse Spark and distributed processing frameworks for large-scale data Streaming technologies such as Kafka or Kinesis You will use your expertise to choose the right tools for the problem, rather than just defaulting to a single stack. What they’re looking ...