22 of 22 Remote/Hybrid Amazon Kinesis Jobs in the UK excluding London

maintaining cloud-based platforms and infrastructure, with a focus on AWS. Hands on experience with AWS, including practical delivery across core services such as Amazon EC2, Amazon EKS, Amazon RDS, Amazon Redshift, Amazon S3, Amazon VPC, AWS Identity and Access Management (IAM), AWS Lambda … identity management in cloud environments, including AWS-specific best practices. Familiarity with monitoring, logging, and alerting tools (e.g., Prometheus, Grafana, the ELK stack, Amazon CloudWatch, and AWS X-Ray). Experience with version control systems (e.g., Git) and scripting languages (e.g., Python, Bash, Go). Ability to troubleshoot ...

infrastructure and platform solutions. Foundational understanding of AWS services, cloud infrastructure and modern engineering practices. Experience with one or more AWS services such as Amazon EC2, Amazon S3, Amazon RDS, Amazon VPC, AWS IAM or AWS Lambda. Understanding of Infrastructure as Code principles and tools such … hybrid and multi-cloud architectures, including the integration of on-premises environments with AWS. Awareness of AI and machine learning services on AWS, including Amazon SageMaker, Amazon Bedrock and Amazon Q Business. Awareness of AWS billing, cost management and optimisation services, including AWS Cost Explorer ...

Data Factory.* Azure Data Engineer Associate and Databricks Certified Data Engineer Professional**AWS*** Proficiency with AWS Tools: Demonstrable experience using AWS Glue, AWS Lambda, Amazon Kinesis, Amazon EMR , Amazon Athena, Amazon DynamoDB, Amazon Cloudwatch, Amazon SNS and AWS Step Functions.* Programming Skills: Strong ...

Data Engineer, ETL Developer, Data Platform Engineer, or a similar role Strong hands‐on experience with Python and PySpark Experience with AWS Glue, Amazon Athena, Amazon Redshift , and cloud‐based data platforms Strong SQL skills and experience working with both relational and NoSQL databases Experience supporting or developing … Apache Iceberg or modern lakehouse solutions Experience working in Agile delivery environments Familiarity with Linux and Git‐based version control Desirable experience Experience with Amazon Kinesis Experience using Jira Exposure to CI/CD pipelines and modern software engineering practices Qualifications Degree in Computer Science, Data Engineering, Software ...

across: Batch data processing, ELT and orchestration. Modern streaming technologies such as Flink or comparable platforms. AWS data services, including S3, Lambda, Glue, Athena, Kinesis and RDS. Infrastructure as code using Terraform. CI/CD and automated testing. Lakehouse architecture and open table formats such as Iceberg. Medallion architecture ...

across: Batch data processing, ELT and orchestration. Modern streaming technologies such as Flink or comparable platforms. AWS data services, including S3, Lambda, Glue, Athena, Kinesis and RDS. Infrastructure as code using Terraform. CI/CD and automated testing. Lakehouse architecture and open table formats such as Iceberg. Medallion architecture ...

data masking, row access policies, column-level security, Tri-Secret encryption, network policies, Horizon Catalog, access history, and data classification.Streaming and CDC patterns (Kafka, Kinesis, Snowpipe Streaming) and event-driven architectures for near real-time use cases.Data governance and metadata management (catalogs, lineage, MDM, data quality frameworks) with familiarity ...

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 ...

warehousing, ELT and orchestration. Modern streaming technologies such as Flink or comparable platforms. Production AWS data engineering. AWS services including S3, Lambda, Glue, Athena, Kinesis, RDS, IAM and CloudWatch. Lakehouse architectures and open table formats such as Iceberg. Medallion-style data layering and dimensional modelling. Strong SQL and Python ...

following would be beneficial but not essential: Data Warehousing (Snowflake, Redshift, Synapse, BigQuery, etc.) Relational, NoSQL, graph and vector databases Streaming technologies (Kafka, Kinesis, Flink, etc.) Containers and related services (Docker, Kubernetes, container Registries, etc) Data modelling approaches (Kimball, Imnon) Orchestration tools - Apache Airflow, Prefect or cloud-native tools ...

/or AWS certifications at Associate or Professional level. Streaming Architectures: Practical experience with real-time or event-driven streaming (Kafka/MSK, Kinesis, Spark Structured Streaming). Advanced Data Architectures: Exposure to Data Mesh concepts, data products, or federated data governance models. AI/ML Infrastructure: Exposure ...

/or AWS certifications at Associate or Professional level. Streaming Architectures: Practical experience with real-time or event-driven streaming (Kafka/MSK, Kinesis, Spark Structured Streaming). Advanced Data Architectures: Exposure to Data Mesh concepts, data products, or federated data governance models. AI/ML Infrastructure: Exposure ...

Unity Catalog, and streaming technologies. Broad cloud expertise across Azure (Synapse, ADF, Event Hub, ADLS Gen2, Purview, Key Vault) and AWS (S3, Glue, EMR, Kinesis, Athena, Lake Formation, IAM), with strong multi-cloud experience. Strong understanding of modern engineering practices, including CI/CD for data platforms, automated deployment ...

GitHub Actions. Experience with Lambda, ECS and Fargate. Good knowledge of AWS security, IAM, KMS and incident response. Experience with data pipelines using Kinesis, Kafka or similar. Proficiency in TypeScript and some Python. Strong communication skills and ability to take technical ownership. Experience with AWS Bedrock or other ...

preparation. Nice to have: Time-series forecasting or optimisation, ideally in energy Vector databases and lakehouse architectures Terraform, Docker/Kubernetes, or streaming (Kafka, Kinesis, Event Hubs) Cloud certifications Consulting or energy-sector experience What's in It for You? High Impact: Work on energy-sector AI solutions that ...

Proven experience developing and supporting Splunk detection rules and SPL queries. Experience with security data pipelines and log management technologies. Knowledge of S3, SQS, Kinesis, and cloud-based logging architectures. Understanding of security frameworks such as Zero Trust and identity-centric security models. Excellent communication and stakeholder management skills. ...

Proven experience developing and supporting Splunk detection rules and SPL queries. Experience with security data pipelines and log management technologies. Knowledge of S3, SQS, Kinesis, and cloud-based logging architectures. Understanding of security frameworks such as Zero Trust and identity-centric security models. Excellent communication and stakeholder management skills. ...

front-end security , including token handling, BFF patterns, CSP and secure session management. Desirable ForgeRock, Cognito, API Gateway, Istio or Envoy. Snowflake, Kafka or Kinesis security. Financial Services experience. AWS Security Specialty, CISSP, OSWE or similar certifications. This is an excellent opportunity to join a high-profile transformation programme ...

cloud architecture. Experience building products on cloud-native, SaaS platforms. Familiarity with our stack is useful: AWS, Python, Rust, Django, Postgres, ClickHouse, EC2, CloudFront, Kinesis, Flink, Lambda, Amazon MQ, Terraform, React, and Next.js. Experience with modern CI/CD and teams that ship to production frequently. Leadership & Delivery ...

trimming bulk data to remove unnecessary payloads, deduplicating identical logs, and pre-parsing complex regex strings. Storage Architecture: Manage real‐time streaming technologies (e.g., Kinesis) and security data storage solutions including S3 buckets and Amazon Security Lake. Data Tiering: Support the classification of data into appropriate storage tiers … Cloud Platform. SIEM & Detection: Experience in supporting analysts in the creation of Splunk (SPL) detection rules. Data Tools & Protocols: Hands‐on experience with Cribl, Kinesis, S3 buckets, and SQS Queues. Understanding of OCSF schemas and data normalisation. Security Controls: Deep understanding of Zero Trust, identity‐first security, secrets management ...

trimming bulk data to remove unnecessary payloads, deduplicating identical logs, and pre-parsing complex regex strings. Storage Architecture: Manage real‐time streaming technologies (e.g., Kinesis) and security data storage solutions including S3 buckets and Amazon Security Lake. Data Tiering: Support the classification of data into appropriate storage tiers … Cloud Platform. SIEM & Detection: Experience in supporting analysts in the creation of Splunk (SPL) detection rules. Data Tools & Protocols: Hands‐on experience with Cribl, Kinesis, S3 buckets, and SQS Queues. Understanding of OCSF schemas and data normalisation. Security Controls: Deep understanding of Zero Trust, identity‐first security, secrets management ...

trimming bulk data to remove unnecessary payloads, deduplicating identical logs, and pre-parsing complex regex strings. Storage Architecture: Manage real-time streaming technologies (e.g., Kinesis) and security data storage solutions including S3 buckets and Amazon Security Lake. Data Tiering: Support the classification of data into appropriate storage tiers … Cloud Platform. SIEM & Detection: Experience in supporting analysts in the creation of Splunk (SPL) detection rules. Data Tools & Protocols: Hands-on experience with Cribl, Kinesis, S3 buckets, and SQS Queues. Understanding of OCSF schemas and data normalisation. Security Controls: Deep understanding of Zero Trust, identity-first security, secrets management ...