3 of 3 Amazon Kinesis Jobs in the City of London

junior engineers and contributing to a strong engineering culture Working with a modern, cloud-native stack Tech Stack Languages: JavaScript, Node.js Databases: SQL, PostgreSQL, BigQuery Cloud: AWS (Lambda, S3, Kinesis, RDS, Step Functions, AppFlow) DevOps: Serverless, Heroku, GitHub, CircleCI Monitoring: Graphite, Grafana, Splunk Bonus: Experience in marketing tech or AI What We're Looking For Strong full stack engineering More ❯

data pipelines using Python. -Develop and deploy containerized microservices using Docker, running in ECS Fargate or similar cloud-native environments. -Work across AWS and GCP, leveraging services like Lambda, Kinesis, SQS, EventBridge, AWS Batch, Spark, and BigQuery to power cross-cloud data products. -Build and integrate with RESTful APIs to expose data services and connect systems. -Contribute to CI … Python skills: Confident writing clean, modular, and testable code - you’ve likely worked with pytest and TDD where it makes sense. -Cloud Fluency: Solid experience with AWS (especially Lambda, Kinesis, SQS, EventBridge) and familiarity with GCP, including BigQuery. -Containerisation: Comfortable building and deploying containerised applications using Docker, ideally in ECS Fargate or similar. -APIs & Microservices: Hands-on experience building More ❯

specifically in Big Data processing services (Apache Spark, Beam or equivalent). In-depth knowledge on key technologies like Big Query/Redshift/Synapse/Pub Sub/Kinesis/MQ/Event Hubs, Kafka Dataflow/Airflow/ADF etc. Excellent consulting experience and ability to design and build solutions, actively contribute to RfP response. Ability to … to lead and mentor the architects. Mandatory Skills [at least 2 Hyperscalers] GCP, AWS, Azure, Big data, Apache spark, beam on BigQuery/Redshift/Synapse, Pub Sub/Kinesis/MQ/Event Hubs, Kafka Dataflow/Airflow/ADF Desirable Skills: Designing Databricks based solutions for Azure/AWS, Jenkins, Terraform, StackDriver or any other DevOps tools More ❯