10 of 10 Amazon MSK Jobs in England

technologies, primarily Kafka, but also Kinesis Experience designing and implementing stream processing applications with Flink Experience 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 databases Experience working with Docker, container deployment ...

pipelines using Java (primary) and technologies like Kafka, Flink, or Spark Developing real-time streaming solutions and event-driven architectures using AWS services (Kinesis, MSK, Lambda, Glue) Contributing to data architecture, modelling, and best practices across modern data platforms Deploying and maintaining solutions using CI/CD and Infrastructure ...

pipelines using Java (primary) and technologies like Kafka, Flink, or Spark Developing real-time streaming solutions and event-driven architectures using AWS services (Kinesis, MSK, Lambda, Glue) Contributing to data architecture, modelling, and best practices across modern data platforms Deploying and maintaining solutions using CI/CD and Infrastructure ...

PySpark on AWS EMR with deployment of these jobs on Data warehouse platforms like Amazon Redshift & ClickHouse Work with Amazon MSK (Kafka) for real‐time data ingestion and streaming. Automate pipeline orchestration with AWS Step Functions. Ensure schemas are aligned with vendor (OEM) specifications ...

work closely with our Security Engineer and tech leads. Responsibilities Own our infrastructure at scale: the AWS estate today (ECS Fargate, Aurora, ElastiCache, MSK, OpenSearch, Lambda, KMS) and the AWS CDK to Terraform migration. Keep it reliable, observable, and cost‐aware. Build out the deployment pipeline as we consolidate … BYOC/self‐hosted), or a platform like Nuon, Replicated, or Omnistrate. Multi‐cloud (GCP or Azure) IaC, and exposure to Temporal, Kafka/MSK, ClickHouse, or OpenSearch. Our stack Cloud & infra: AWS (ECS Fargate, Aurora Postgres, ElastiCache, MSK, OpenSearch, Lambda, S3, KMS, CloudFront, WAF), Cloudflare (Workers ...

patterns . Familiarity with AI/ML workflows and their data requirements. Experience with API specifications and data integrations acrossETL and streaming services ( Glue, MSK, Kinesis, Kafka ). Familiarity with AI developer tools like Cursor and GitHub Copilot and desire to use them to 10x your throughput. Collaborative approach ...

cloud‐native architectures, with experience shaping technical direction across teams and stakeholders Solid expertise in relevant technologies such as AWS, Terraform, Kafka/MSK, Airflow, Glue or Spark, and building scalable data solutions Experience with modern data ecosystems including data lakes/lakehouse architectures, Iceberg or similar table formats ...

meet the requirements of the UK Gambling Commission and international licensing bodies Working with AWS services including S3, Glue, Lambda, Athena, Redshift, RDS, Kinesis, MSK, Lake Formation, Step Functions, and MWAA – selecting the right tool for each problem rather than defaulting to a stack Practice and people Mentoring … data engineering stack – from ingestion and streaming through to warehousing, serving, and cost optimisation You have deep experience with streaming architectures – Kinesis, Kafka/MSK, Flink, or Spark Streaming – and know when each is the right choice You can model the cost implications of architecture decisions and advise clients ...

meet the requirements of the UK Gambling Commission and international licensing bodies Working with AWS services including S3, Glue, Lambda, Athena, Redshift, RDS, Kinesis, MSK, Lake Formation, Step Functions, and MWAA – selecting the right tool for each problem rather than defaulting to a stack Practice and people Mentoring … data engineering stack – from ingestion and streaming through to warehousing, serving, and cost optimisation You have deep experience with streaming architectures – Kinesis, Kafka/MSK, Flink, or Spark Streaming – and know when each is the right choice You can model the cost implications of architecture decisions and advise clients ...

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 … 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 platforms Amazon ...