12 of 12 Amazon Kinesis Jobs in the UK excluding London

with varied tech stacks across multiple industries. Access professional development, including technical courses, certifications, mentoring, and coaching. Tech stack: AWS cloud (EMR, Glue, RedShift, Kinesis, Lambda, DynamoDB) for ETL, data lake/warehouse design, and data movement. Programming: Java, Python, Scala, Spark, SQL. Experience integrating and processing large-scale ...

with varied tech stacks across multiple industries. Access professional development, including technical courses, certifications, mentoring, and coaching. Tech stack: AWS cloud (EMR, Glue, RedShift, Kinesis, Lambda, DynamoDB) for ETL, data lake/warehouse design, and data movement. Programming: Java, Python, Scala, Spark, SQL. Experience integrating and processing large-scale ...

DevOps Kubernetes, Terraform, infrastructure-as-code Azure DevOps, Gitlab CI, GitHub Cloud Platforms AWS: Lambda, ECS, CloudFront, API Gateway, DynamoDB, Aurora, S3, SQS, SNS, Kinesis Azure Functions Monitoring & Logging Prometheus, Grafana, Cloudwatch Elasticsearch, Logstash, Kibana (ELK stack) Culture & Principles Our client's core belief is that great culture ...

work closely with technical and business teams to deliver impactful solutions. Nice-to-Haves: Orchestration tools (Airflow, dbt, Prefect) or streaming frameworks (Kafka, Kinesis). CI/CD experience and DevOps practices for data workflows. Exposure to data visualisation platforms (PowerBI, Tableau, MicroStrategy). Experience in financial services ...

work closely with technical and business teams to deliver impactful solutions. Nice-to-Haves: Orchestration tools (Airflow, dbt, Prefect) or streaming frameworks (Kafka, Kinesis). CI/CD experience and DevOps practices for data workflows. Exposure to data visualisation platforms (PowerBI, Tableau, MicroStrategy). Experience in financial services ...

following: - Expertise in designing production-grade data pipelines using Python, Scala, Spark, and SQL - Deep knowledge of AWS Cloud Platforms (EMR, Glue, Redshift, Kinesis, Lambda, DynamoDB) - Experience with data processing across structured and unstructured sources - Strong scripting abilities and API integration skills - Knowledge of data visualization and reporting best ...

following tech stack: NodeJS/Typescript/Mocha/Sinon/Terraform/Git/Gitlab CICD/Docker AWS (ECS, EC2, Kinesis, Firehose, RDS, Lambda, S3, DynamoDB, SQS, SNS) Databases – Postgres/MySQL As a Senior Developer to lead by example. A strong critical thinker with excellent problem ...

feature development within the data engineering function. KEY SKILLS AND REQUIREMENTS Proven experience with AWS services including Lambda, API Gateway, S3, Kinesis, and CloudWatch. Strong programming ability in Python and data transformation skills using SQL and DBT. Experience with Airflow for orchestration and scheduling. Familiarity with third-party ...

microservices on AWS. The long-term plan? Clear progression towards platform ownership. What you'll be working with: Node.js & TypeScript AWS (ECS, Lambda, RDS, Kinesis, S3, DynamoDB) Docker & Terraform CI/CD pipelines (GitLab) Postgres/MySQL The role: Design and build scalable backend systems Own features from concept ...

Strong experience within AWS & AWS services within networking and security Proficient within Terraform, CloudFormation or AnsibleObservability tools like Cloud Watch, CloudTrail, OpenSearch Grafana/Kinesis Have a background within core infrastructure services like networking, security, patching and has transitioned to a Platform/Cloud focused Engineer vs DevOps/ ...

practices like TDD, CI/CD, IaC and Observability. Skills: TypeScript/Node.js Backend APIs AWS or GCP Streaming systems experience (Flink, Kafka, Kinesis, Spark etc.) In return, you'll be given real ownership in an early-stage start-up environment where you can shape direction and genuinely make ...

European growth goals and client needs.Data Platform: Oversee the architecture of our data lakehouse (Snowflake, Databricks) and real-time pipelines (Kafka, AWS Kinesis).Salesforce Integrations: Ensure seamless workflows across Financial Services Cloud, Marketing Cloud, and CPQ.Decision Engine: Prioritise AI/ML use cases (e.g., dynamic pricing, desirability scoring ...