14 of 14 Remote Amazon Kinesis Jobs

technologies for ETL pipeline, data warehouse and data lake design/building and data movement. AWS data and analytics services (or open-source equivalent) such as EMR, Glue, RedShift, Kinesis, Lambda, DynamoDB. What you can expect Work to agile best practices and cross-functionally with multiple teams and stakeholders. You’ll be using your technical skills to problem solve More ❯

technologies for ETL pipeline, data warehouse and data lake design/building and data movement. AWS data and analytics services (or open-source equivalent) such as EMR, Glue, RedShift, Kinesis, Lambda, DynamoDB. What you can expect Work to agile best practices and cross-functionally with multiple teams and stakeholders. You’ll be using your technical skills to problem solve More ❯

technologies for ETL pipeline, data warehouse and data lake design/building and data movement. AWS data and analytics services (or open-source equivalent) such as EMR, Glue, RedShift, Kinesis, Lambda, DynamoDB. What you can expect Work to agile best practices and cross-functionally with multiple teams and stakeholders. You’ll be using your technical skills to problem solve More ❯

Desirable Skills for the Senior Data Engineer: Experience with event sourcing, dbt, or related data transformation tools Familiarity with PostgreSQL and cloud-native data services (Azure Event Hub, Redshift, Kinesis, S3, Blob Storage, OneLake, or Microsoft Fabric) Understanding of machine learning model enablement and operationalisation within data architectures Experience working within Agile delivery environments If you are an experienced More ❯

Start date: Within 1-3 weeks of offer Tech Stack: AWS: EKS/ECS, EC2, ALB/NLB, API Gateway, Lambda, S3/CloudFront, DynamoDB, ElastiCache, Aurora, MSK/Kinesis, OpenSearch, Route53, WAF/Shield, CloudWatch, X-Ray, IAM, KMS, Secrets Manager IaC & CI/CD: Terraform, CloudFormation, Helm, Argo CD, Flux, GitHub Actions, Jenkins, GitLab CI, Docker Observability More ❯

systems (e.g., pipelines, model serving, feature stores, analytics workloads) Nice to Have: * Experience integrating Python ML services (TF/torch), feature stores, or model registries * Event streaming & messaging (Kafka, Kinesis, NATS, SQS, Pub/Sub) * Observability stacks (OpenTelemetry, Prometheus, Grafana) * IaC (Terraform), security-by-design, OAuth/OIDC, secrets management * Batch & streaming data processing (Spark/Flink/Beam More ❯

or Senior Data Engineer in a cloud environment (preferably AWS). Expertise in data modelling (Dimensional, Data Vault, Enterprise). Strong knowledge of AWS data services (S3, Redshift, Glue, Kinesis, Lambda, etc.). Experience in Data Strategy and Data Governance Strong communication and stakeholder management skills. The Nice-to-Haves (bonus points if you have these!): Experience with Monte More ❯

teams to move fast, stay compliant and take end-to-end responsibility for their products. Major elements of our platform include AWS (we make significant use of S3, RDS, Kinesis, EC2, EMR, ElastiCache, ElasticSearch and EKS). Elements of the platform will start to expand into GCP (Compute Engine, Cloud Storage, Google Kubernetes Engine and BigQuery). Other significant More ❯

of AWS Cloud technologies and how to create scalable multi-region applications Experience with the following technologies: AWS Serverless and serverless-supported languages DB (ex, Postgresql, CocroachDB) Streaming technologies (Amazon Kinesis, Kafka) Message Queues (SQS, RabbitMQ, ActiveMQ) Experience working within an agile development Experience with containerization (Docker, Kubernetes, etc) Experience with Micro-Service and Service oriented architectures Experience More ❯

Contract Role – Data AWS Engineer – Northampton/Hybrid – 6 months – Inside IR35 7+ years of experienced in designing, building, and maintaining data pipelines and architectures on the Amazon Web Services (AWS) cloud platform. Skilled in scalable, reliable, and efficient data solutions, often using AWS services like S3, Redshift, EMR, Glue, and Kinesis. This involves designing ETL processes, ensuring data … date with the latest AWS services and technologies to improve data engineering solutions. Key Skills: AWS Services: Strong understanding and experience with AWS services like S3 , Redshift, EMR, Glue , Kinesis, and Lambda. Programming Languages: Proficiency in programming languages like Python or Java, used for designing and building data pipelines. SQL: Knowledge of SQL for querying and manipulating data in More ❯

Java development. This is a remote position, UK. Skills needed: Previous working experience as a Technical Architect Experience producing LLDs Java and/or .net background Kafka/AWS Kinesis AWS, s3, Lambda Contract Details: Length: 4 Months initially Day Rate: £500 IR35: Outside Start Date: ASAP Please click here to find out more about our Key Information Documents. More ❯

governance across AWS and Snowflake platforms. Lead the design of data lakes, data warehouses, and real-time data pipelines using AWS-native tools such as Glue, Redshift, S3, Lambda, Kinesis, and Athena. Project Leadership & Delivery Manage and deliver complex data architecture projects, providing technical leadership to cross-functional teams. Collaborate with business stakeholders, data engineers, and analysts to understand … experience in data architecture, including at least 3 years in a cloud-native environment. Proven expertise with AWS cloud services , including but not limited to: S3, Glue, Redshift, Lambda, Kinesis, Athena, Lake Formation. Strong hands-on experience with Snowflake - architecture, performance tuning, security, and data sharing features. Proficient in data modelling, data integration (ETL/ELT), and metadata management. More ❯

Urgent contract Amazon Connect Developer - Hybrid Glasgow Role Overview We are seeking a Principal Amazon Connect Architect to lead the design and delivery of enterprise-grade, cloud-based contact centre solutions. This role is pivotal in driving digital transformation, ensuring regulatory compliance, and delivering secure, resilient, and scalable architectures for omnichannel customer engagement. The successful candidate will have … a proven track record of implementing Amazon Connect at scale, migrating from Legacy platforms, and aligning technology decisions with global compliance standards. Core Responsibilities Solution Architecture & Design Define target architecture for Amazon Connect across voice, chat, and tasks, ensuring high availability, disaster recovery, and multi-region resilience. Apply AWS Well-Architected Framework principles and enterprise architecture standards for … security, sustainability, and cost optimization. Implementation & Migration Lead end-to-end migration from Legacy platforms (Avaya, Cisco, Genesys) to Amazon Connect. Design and implement IVR/contact flows, Lex conversational bots, Contact Lens analytics, and agent assist capabilities. Integration & Ecosystem Architect integrations with CRM/ITSM platforms (Salesforce, ServiceNow, Dynamics, Pega), WFM/QM systems, and identity management solutions. More ❯

security, cost efficiency, and operational sustainability. Implementation & Migration Lead full-scale migrations from legacy platforms (e.g., Avaya, Cisco, Genesys) to AWS Connect. Design and deploy IVR/contact flows, Amazon Lex conversational bots, analytics tools, and agent support solutions. Integration & Ecosystem Development Architect seamless integrations with CRM and ITSM platforms (Salesforce, ServiceNow, Dynamics, Pega), WFM/QM tools, and … identity management systems. Build API-driven architectures and real-time analytics pipelines leveraging AWS services such as Lambda, EventBridge, Kinesis, Glue, Athena, and CloudWatch. Security & Compliance Implement IAM policies, KMS encryption, VPC networking, and PrivateLink to secure data and connectivity. Ensure adherence to GDPR, PCI-DSS, ISO 27001, and industry-specific standards. Develop data retention policies, privacy impact frameworks … 10+ years in contact centre technologies. Minimum 5 years implementing AWS Connect solutions at enterprise scale with complex integrations. Proficient with AWS services: IAM, VPC, Lambda, API Gateway, EventBridge, Kinesis, CloudWatch, DynamoDB. Strong understanding of security and compliance frameworks (GDPR, PCI-DSS, ISO 27001). Hands-on experience with Infrastructure as Code (CloudFormation, Terraform, CDK) and serverless development (Node.js More ❯