8 of 8 Amazon MSK Jobs in London

tools like Flyway and Liquibase.Cloud ArchitectureExperience working with major public cloud platforms, preferably AWS.Hands-on use of cloud-based services such as AWS Aurora, MSK, S3, and IAM.Basic understanding of cloud networking concepts.Agile Ways of WorkingStrong understanding and commitment to the ethos of agile working.Experience working within Scrum ...

experience working with stream technologies, ideally KafkaExperience designing and implementing stream processing applications with FlinkExperience working with cloud-based technologies such as AWS (MSK, S3, Lambda, ECS, SNS)Experience with Kubernetes (either self-hosted or on the cloud)Experience with SQL databasesExperience working with Docker, container deployment and managementExperience ...

tools like Flyway and Liquibase.Cloud ArchitectureExperience working with major public cloud platforms, preferably AWS.Hands-on use of cloud-based services such as AWS Aurora, MSK, S3, and IAM.Basic understanding of cloud networking concepts.Blockchain Integration and InteroperabilityUnderstanding of blockchain fundamentals, including consensus mechanisms and smart contracts.Knowledge of interoperability protocolsExperience integrating ...

skills and proficiency in Python for automation and integrationFamiliarity with infrastructure as code, using Terraform or AnsibleDeep understanding of AWS analytics technologies including EMR, MSK, Athena, Redshift, Glue and MWAAExperience with CI/CD and observability tools such as Jenkins, ArgoCD, Prometheus, Grafana and OpenTelemetryStrong problem-solving skills ...

engineering and architecture - particularly AWS, but familiarity with GCP would also come in handyOur tech stack is mostly AWS (principally EKS, RDS, AmazonMQ and MSK) with some GCP. Terraform, GoLang, Python, TypeScript and GitLab are also prominently featured.We evaluate candidates based on the sum of their strengths. ...

skills with the ability to translate technical concepts for business and executive stakeholders. Experience leveraging AI-assisted development tools such as GitHub Copilot, Amazon Q, or similar technologies to improve engineering productivity.What Would Make You Stand … Experience building cloud-native solutions using Kubernetes/EKS, Docker, and Infrastructure-as-Code. Experience with event streaming and messaging platforms such as Kafka, MSK, or EventBridge. Experience with caching technologies including Redis or Valkey. Experience with NoSQL databases such as MongoDB or DynamoDB. Experience working with C#/ ...

cloud-native data platforms such as Databricks and SnowflakeGood understanding of AWS data analytics services, including Redshift, EMR, Glue, Athena, Kinesis, Lake Formation, MSK, and S3 data lake patterns, with demonstrated experience architecting end-to-end data solutionsExperience navigating complex data governance, security, and compliance requirements across multi-cloud ...

data lakes and lakehouses to real-time streaming pipelines, business intelligence, and advanced analytics leveraging the breadth of AWS's analytics portfolio including Amazon Redshift, Athena, EMR, Glue, Kinesis, QuickSight, and OpenSearch.You'll serve as a trusted technical advisor to enterprise customers navigating complex analytics modernisation challenges whether … data structures, data modeling, and database schema- Hands-on experience with AWS analytics services such as Amazon Redshift, Athena, Glue, EMR, Kinesis, MSK, or QuickSight- Experience migrating enterprise data warehouses (e.g. Teradata, Oracle Exadata, Netezza) or Hadoop environments to cloud-native analytics platformsAmazon is an equal opportunities ...