15 of 15 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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

principles including Zero Trust, identity-first security, secrets management, and network segmentation. Desirable Experience Experience with Cribl and security data pipeline management. Knowledge of Kinesis, Amazon S3, Amazon Security Lake, or similar technologies. Understanding of OCSF and security data normalisation. Experience working within government, defence, highly regulated ...

partner status (competency badges, certified-headcount targets, co-sell with partner account teams) Streaming and event-driven architecture in production (Kafka/MSK, Kinesis, Structured Streaming) Data products, mesh or federated ownership models applied on a real programme, not just in theory ML and AI platform work: feature stores ...

ingestion on Cribl — routing, filtering, normalisation, and enrichment at the edge. Optimisation: reduce volume via deduplication, trimming, and NetFlow summarisation; manage streaming/storage (Kinesis, S3, Amazon Security Lake). Standards: apply hot/warm/cold data tiering; normalise into OCSF; enforce encryption and least-privilege access. … Knowledge & Expertise Hands-on cloud security experience — AWS, Azure, or GCP. Either: Advanced Splunk (SPL); YARA, and EDR detection logic. or Experience with Cribl, Kinesis, S3, Amazon Security Lake, and OCSF/data normalisation. Strong grasp of Zero Trust, identity-first security, secrets management, and network segmentation. Experience ...

ingestion on Cribl — routing, filtering, normalisation, and enrichment at the edge. Optimisation: reduce volume via deduplication, trimming, and NetFlow summarisation; manage streaming/storage (Kinesis, S3, Amazon Security Lake). Standards: apply hot/warm/cold data tiering; normalise into OCSF; enforce encryption and least-privilege access. … Knowledge & Expertise Hands-on cloud security experience — AWS, Azure, or GCP. Either: Advanced Splunk (SPL); YARA, and EDR detection logic. or Experience with Cribl, Kinesis, S3, Amazon Security Lake, and OCSF/data normalisation. Strong grasp of Zero Trust, identity-first security, secrets management, and network segmentation. Experience ...

Join the team, an exciting new project aiming to have us enter the Consumer Credit Bureau space in the United Kingdom and eventually become a fully-fledged Consumer Reporting Agency. We’re looking for a ...

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 ...