22 of 22 Remote Permanent Amazon Kinesis Jobs

that address complex business requirements and drive decision-making. Your skills and experience 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 More ❯

a lot. It's not exhaustive, but gives you a taste of what our stack and tools look like: React, Node.js; Heroku; AWS Lambda, Kinesis, and DynamoDB Handlebars; Sass; Webpack; Preact Fastly and VCL Github; CircleCI; Open Telemetry; Grafana; Splunk We don't expect you to have worked with More ❯

Spring Boot) Front-End (React or similar) React Native Docker Experience building CI/CD pipelines API Development, NodeJS AWS cloud infrastructure High volume kinesis data streaming processing and DynamoDB The Benefits? (Skinny) 25 days holidays Bi-annual personal development reviews Hybrid working Loads of others.. get in touch More ❯

financial services , fintech , or other regulated domains. Exposure to infrastructure-as-code (Terraform, CloudFormation). Familiarity with data pipelines or streaming systems (e.g., Kafka, Kinesis). Contributions to open source or community involvement. What We Offer Competitive salary and equity package Flexible working hours and remote-friendly culture Personal More ❯

NoSQL databases. Secure development practices. Git-based source control. Knowledge of CI automation systems such as Jenkins Bonus points for: Event streaming (e.g. Kafka, Kinesis) and change data capture (CDC). Messaging (e.g. RabbitMQ, SQS). Docker and Kubernetes. Solution and architecture design. Test-driven development (TDD). AWS More ❯

based APIs for internal and external data delivery. Familiarity with one or more of the following would also be beneficial: Scala AWS services like Kinesis, RDS, Elasticache, S3, Athena, Data pipeline, Glue, Lambda, EMR, Spark, EC2, ECS, CloudWatch or Elastic Beanstalk Jenkins or similar tools would also be a More ❯

REST based APIs for internal and external data delivery. Familiarity one or more of the following would also be beneficial : Scala AWS services like Kinesis, RDS, Elasticache, S3, Athena, Data pipeline, Glue, Lambda, EMR, Spark, EC2, ECS, CloudWatch or Elastic Beanstalk Jenkins or similar tools would also be a More ❯

high throughput, scalable, resilient, and secure data pipelines. Experience with AWS technologies: Glue, Athena, S3, Step Functions, Lambda, RDS (Aurora Postgres), DMS, Redshift, QuickSight, Kinesis Firehose. Expert knowledge of SQL. Hands-on experience with Kafka. Hands-on experience with Terraform. Hands-on experience with Python in a Data Analytics More ❯

Java. Strong knowledge of relational and NoSQL databases. Git-based source control. Knowledge of CI automation systems such as Jenkins. Event streaming (e.g. Kafka, Kinesis) and change data capture (CDC). Docker and Kubernetes. Solution and architecture design. Previous experience working in e-commerce and/or financial services. More ❯

Have excellent knowledge of AWS services (ECS, IAM, EC2, S3, DynamoDB, MSK). Our Technology Stack: Python and Scala Starburst and Athena Kafka and Kinesis DataHub ML Flow and Airflow Docker and Terraform Kafka, Spark, Kafka Streams and KSQL DBT AWS, S3, Iceberg, Parquet, Glue and EMR for our More ❯

Experience developing, testing, and deploying data pipelines, data lakes, data warehouses, and data marts using ideally AWS services such as S3, Glue, Athena, EMR, Kinesis, and Lambda Understanding of the principles behind designing and implementing data lake, lake house and/or data mesh architecture Problem solving skill with More ❯

Developing and maintaining ETL processes using SQL and Python. Building aggregated Metrics Dashboards. Working with AWS or Azure Big Data tools (Glue, Athena, Redshift, Kinesis, Data bricks, azure analytics, Data explorer). Using cloud-based storage and functions (S3, Blob, Lambda, Azure Functions). Applying data engineering methodologies (Datawarehouse More ❯

warehousing principles, data modelling practice, Excellent knowledge of creation and maintenance of data pipelines - ETL Tools (e.g. Apache Airflow) and Streaming processing tools (e.g. Kinesis) Strong problem-solving and analytical skills, with the ability to troubleshoot and resolve complex data-related issues Proficient in data integration techniques including APIs More ❯

warehousing principles, data modelling practice, Excellent knowledge of creation and maintenance of data pipelines - ETL Tools (e.g. Apache Airflow) and Streaming processing tools (e.g. Kinesis) Strong problem-solving and analytical skills, with the ability to troubleshoot and resolve complex data-related issues Proficient in data integration techniques including APIs More ❯

warehousing principles, data modelling practice, ·Excellent knowledge of creation and maintenance of data pipelines - ETL Tools (e.g. Apache Airflow) and Streaming processing tools (e.g. Kinesis) ·Strong problem-solving and analytical skills, with the ability to troubleshoot and resolve complex data-related issues ·Proficient in data integration techniques including APIs More ❯

warehousing principles, data modelling practice, Excellent knowledge of creation and maintenance of data pipelines - ETL Tools (e.g. Apache Airflow) and Streaming processing tools (e.g. Kinesis) Strong problem-solving and analytical skills, with the ability to troubleshoot and resolve complex data-related issues Proficient in data integration techniques including APIs More ❯

experience developing, testing, and deploying data pipelines, data lakes, data warehouses, and data marts using ideally AWS services such as S3, Glue, Athena, EMR, Kinesis, and Lambda. Experience of major operating platforms and their linkage, connectivity functions and issues. Cloud Security - Experience/skills of addressing concept issues and More ❯

Live Tables, PyTest, Great Expectations (or similar). Building and orchestrating data and analytical processing for streaming data with technologies such as Kafka, AWS Kinesis or Azure Stream Analytics. Building data solutions for embedded analytics and/or SaaS product platforms. Knowledge of data governance, privacy regulations (e.g. GDPR More ❯

AWS managed services Maintaining and enhancing existing services written in Node, Java, and Kotlin Developing scalable, high-performance applications using AWS cloud technologies, including Kinesis for real-time data streaming Building and maintaining front-end applications using React (or similar frameworks) and TypeScript Writing clean, maintainable, and efficient code … in Golang for backend development Experience with AWS-managed services, particularly event-driven architectures, serverless, and real-time data processing (Lambda, SQS, SNS, DynamoDB, Kinesis, etc.) Strong understanding of RESTful microservice architectures Hands-on experience with React and TypeScript (or similar front-end frameworks) Familiar with git or other More ❯

code review). Big Data Eco-Systems, Cloudera/Hortonworks, AWS EMR, GCP DataProc or GCP Cloud Data Fusion. Streaming technologies and processing engines, Kinesis, Kafka, Pub/Sub and Spark Streaming. Experience of working with CI/CD technologies, Git, Jenkins, Spinnaker, GCP Cloud Build, Ansible etc. and More ❯

and our system must adapt quickly to these failures to provide a seamless experience for clients. XiP Compute Services are deployed onto OpenShift and Amazon's Elastic Kubernetes Service (EKS). An important initiative in 2025 will be onboarding Google's Kubernetes Engine to further expand our coverage. Our … Expert knowledge of Confluent Kafka Experience and good understanding of core technologies provided by GCP/AWS, such as S3, FSX, EKS, SQS, SNS, Kinesis, AmazonMQ, DynamoDB, GKE, CloudStorage, PubSub, Filestore Knowledge of modern observability technologies such as ELK, Splunk, Prometheus, Grafana, Micrometer "What-if" thinking, while designing or More ❯

DESCRIPTION The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business … customers on industry trends and emerging technologies - Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts About the team Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's … large datasets and extracting value from them - Experience leading large-scale data engineering and analytics projects using AWS technologies like Redshift, S3, Glue, EMR, Kinesis, Firehose, and Lambda, as well as experience with non-relational databases and implementing data governance solutions Amazon is an equal opportunity employer and More ❯