26 to 50 of 121 Remote Amazon Kinesis Jobs

debugging of services deployed to Kubernetes Good understanding of core cloud technologies provided by GCP/AWS, such as S3, FSX, EKS, SQS, SNS, Kinesis, AmazonMQ, DynamoDB, GKE, Cloud Storage, PubSub, and Filestore Apply for more details and full job specifications. The role offers hybrid working, circa 3 days More ❯

as Python, Java, Scala, Spark, and SQL to extract, clean, transform, and integrate data. Build scalable solutions using AWS services like EMR, Glue, Redshift, Kinesis, Lambda, and DynamoDB. Process large volumes of structured and unstructured data, integrating multiple sources to create efficient data pipelines. Collaborate with engineering teams to More ❯

PostgreSQL, MySQL) Exposure to microservices architecture and observability (Kubernetes, Docker, service meshes, distributed systems, tracing) Exposure to event streaming platforms (such as Kafka and Kinesis) Equal Opportunity Statement : The Company is an equal opportunity employer and considers all applicants for employment without regard to race, color, creed, religion, sex More ❯

PostgreSQL, MySQL) Exposure to microservices architecture and observability (Kubernetes, Docker, service meshes, distributed systems, tracing) Exposure to event streaming platforms (such as Kafka and Kinesis) The Company is an equal opportunity employer and considers all applicants for employment without regard to race, color, creed, religion, sex, sexual orientation, marital More ❯

by us monthly to save for your future. Your Role And Responsibilities We are excited to offer an Application Architect position specialising in the Amazon Web Services (AWS) cloud environment. This role is perfect for an experienced professional who wants to leverage their expertise in designing scalable, secure, and More ❯

aggregate design, anti-corruption layers, clean architecture, SOLID patterns, etc. Event-Driven Architecture (EDA): Experience working with event streaming platforms (e.g., Apache Kafka, AWS Kinesis, RabbitMQ), plus a solid grasp of event sourcing and CQRS. Cloud-Native Tooling: Hands-on with containerization (Docker, Kubernetes), CI/CD pipelines (Jenkins More ❯

Solid understanding of networking, security, authentication, and authorization (OAuth, JWT, OpenID Connect, IAM roles, etc.). Familiarity with big data technologies, streaming platforms like Kinesis, and data lake architectures. Proficiency in C#, Python, or Node.js for backend development and scripting. Strong problem-solving, analytical, and communication skills. AWS certification More ❯

transformation projects. Understanding of OKTA SAML 2.0 Single Sign-On. Languages & Technologies Languages: Python (Boto3 & Moto), Java, React. AWS Technologies: Lambda, S3, Step Functions, Kinesis/Kafka, SNS/SQS, GraphQL, RDS/Aurora, Redshift, IAM, CloudWatch/CloudTrail, CloudFormation, API Gateway. Qualifications At least five years of relevant More ❯

monitoring, and management, for Kafka, Logstash, Beats, Kibana, and Elastic Agent You have worked with queuing systems and data streams in production (SQS, ActiveMQ, Kinesis, Kafka or similar) and you are familiar with programming languages such as: PHP and/or Python and/or Java; 4+ years of More ❯

systems in production. Deep expertise with AWS or Azure , Kubernetes , Docker/OCI , and Terraform . Hands‐on experience with event‐streaming platforms (Kafka, Kinesis) and relational/analytical databases. Demonstrated customer‐facing skills—able to explain complex infrastructure decisions to clinical and IT stakeholders. UK work authorisation and More ❯

systems in production. Deep expertise with AWS or Azure , Kubernetes , Docker/OCI , and Terraform . Hands‐on experience with event‐streaming platforms (Kafka, Kinesis) and relational/analytical databases. Demonstrated customer‐facing skills—able to explain complex infrastructure decisions to clinical and IT stakeholders. UK work authorisation and More ❯

data sets and various databases including Aerospike, Elasticsearch, Redis, ScyllaDB, Redshift, TiDB, MariaDB Build software that utilize messaging queues such as Kafka, SQS, and Kinesis Write performance efficient and memory optimized code We'll be reaching out to candidates that have: 2+ years of experience as a Backend Software More ❯

build, and maintain large scale data solutions and applications using AWS data and analytics services (or open-source equivalent) such as EMR, Glue, RedShift, Kinesis, Lambda, DynamoDB. Your team members will look to you as a trusted expert and will expect you to define the end-to-end software More ❯

BAU and new feature development within the data engineering function. KEY SKILLS AND REQUIREMENTS Proven experience with AWS services including Lambda, API Gateway, S3, Kinesis, and CloudWatch. Strong programming ability in Python and data transformation skills using SQL and DBT. Experience with Airflow for orchestration and scheduling. Familiarity with More ❯

BAU and new feature development within the data engineering function. KEY SKILLS AND REQUIREMENTS Proven experience with AWS services including Lambda, API Gateway, S3, Kinesis, and CloudWatch. Strong programming ability in Python and data transformation skills using SQL and DBT. Experience with Airflow for orchestration and scheduling. Familiarity with More ❯

BAU and new feature development within the data engineering function. KEY SKILLS AND REQUIREMENTS Proven experience with AWS services including Lambda, API Gateway, S3, Kinesis, and CloudWatch. Strong programming ability in Python and data transformation skills using SQL and DBT. Experience with Airflow for orchestration and scheduling. Familiarity with 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 ❯

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 ❯

orchestrators Fluent in English - both written and verbal Nice to Have Knowledge in any of these areas: Python, JavaScript, OIDC, CloudFormation, AWS CDK, AWS Kinesis, Serverless architectures, Distributed tracing, ISO 27001, Penetration testing, CDNs, Queue systems #RemoteUK Veeva’s headquarters is located in the San Francisco Bay Area with 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 Practical knowledge Experience of major operating platforms and their linkage, connectivity functions and issues Cloud Security - Experience/skills of addressing concept More ❯

experience with microservices and distributed systems Familiarity with data technologies like MySQL, Hadoop, or Cassandra Experience working with AWS services (RDS, EC2, Step Functions, Kinesis) is a plus Strong background in testing, KPIs/SLOs, and performance optimization Prior exposure to compliance, fintech, or risk-based systems is a More ❯

Strong expertise in Python & SQL with a deep understanding of data storage solutions (Postgres, Timescale, DBT). Experience with batch & stream data processing (Flink, Kinesis, Spark). Familiarity with DevOps practices (CI/CD, Terraform, GitHub Actions). AWS ecosystem knowledge & UNIX scripting skills. A passion for time-series More ❯

Understanding of modern data infrastructure (lakehouses, data lakes, vector databases). Additional (Nice-to-Have) Skills Infrastructure as Code: Terraform or similar. Streaming: Kafka, Kinesis, Event Hubs. AWS or Azure certifications. Consulting or Energy sector experience. Public Thought Leadership (blogs, conferences, open source). Effective stakeholder engagement and business More ❯

Azure Data Factory Desirable Skills Background in software engineering or DevOps practices (CI/CD, version control, testing) Experience with streaming technologies (e.g., Kafka, Kinesis) Exposure to deploying AI/ML models in production environments Knowledge of tools like Databricks, BigQuery, or Microsoft Fabric More ❯

The data platform team ensures consistent, timely, and accurate data delivery to consumers, while maintaining scalable and efficient pipelines. Our stack consists of: AWS Kinesis Databricks DLT PowerBI/Fabric SQL Server On a day-to-day basis, you will: Develop and maintain new and existing data pipelines. Collaborate More ❯