11 of 11 Remote Permanent 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 ❯

Athena, Glue, etc.) and platforms such as Snowflake and dbt . (Preferred) Familiarity with data orchestration and integration tools (SSIS, SnapLogic , Kestra, Airflow, etc.) and streaming technologies (Kafka, Spark, Kinesis). Experience with data governance, metadata management, and data quality frameworks. Strong analytical and problem-solving skills, with the ability to balance technical detail and strategic context. Experience supporting 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 ❯

4+ years of experience as a Technical Writer, Developer Advocate, or Software Engineer focused on APIs or event-driven systems. Deep understanding of RESTful and event-streaming architectures (Kafka, Kinesis, or similar). Proven experience writing API and developer documentation using OpenAPI/Swagger or AsyncAPI specifications. Hands-on familiarity with developer tooling such as Git, Postman, Redocly, or 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 ❯

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 ❯