Functions, and Kinesis. Work with structured and unstructured data from multiple sources, ensuring efficient data ingestion, transformation, and storage. Develop and optimize data lake and data warehouse solutions using Amazon S3, Redshift, Athena, and Lake Formation. Implement data governance, security, and compliance best practices, including IAM roles, encryption, and access controls. Monitor and optimize performance of data workflows using 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, CockroachDB) Streaming technologies (AmazonKinesis, Kafka) Message Queues (SQS, RabbitMQ, ActiveMQ) Experience working with agile development Experience with containerization (Docker, Kubernetes, etc) Experience with Micro-Service and Service oriented architectures Must have More ❯
Compute) and ECS Fargate (Serverless Containers). Integration Gateway: API Gateway (REST). Database and Storage: DynamoDB (NoSql), Aurora (Relational) and S3 (Object). Events and Messaging: Event Bridge, Kinesis Data Streams, Kinesis Firehouse, SQS and SNS. Additional Preferred Skills: Strong familiarity with the following AWS Service groupings: Identity & Security: IAM, KMS, Okta and/or Antiphony. Observability More ❯
manage cloud architecture services. Introduce new software and technologies to the stack. Experience required: Experience with cloud platforms such as AWS, particularly services such as RDS, S3, EC2, Lambda, Kinesis, EventBridge. Scripting and programming skills in languages like Python, Typescript. Experience conducting load testing. Experience building monitoring dashboards and developing system performance alarms e.g. with Kibana and Cloudwatch Alarms. … principles. Experience with NoSQL databases like ElasticSearch, Dynamo DB. Experience with ETL tools and data integration processes. Familiarity with data pipeline orchestration and data streaming technologies such as RabbitMQ, Kinesis, Kafka. Please note that you will be required to work in the Bristol office 4 days per week. If you have a passion for improving skills, are a self More ❯
Santa Monica, California, United States Hybrid / WFH Options
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design, and cloud platforms. Excellent problem-solving and communication skills. Passion for mentoring and working in a fast-paced environment. SpringBoot, DynamoDB, Redis/MemCache (preferred). Kafka/Kinesis, AWS, Docker, Kubernetes, Terraform (preferred). Background in Ad Tech (preferred). Bachelor's or Master's in Computer Science, Engineering, or related field. Perks & Benefits: Medical, Dental, and More ❯
2+ years developing software testing suites with frameworks like Junit, TestNg, Selenium, Mockito. 2+ years maintaining cloud infrastructure, especially native AWS services like SQS, Lambda, DynamoDB, Step Functions, Kinesis. Amazon values an inclusive culture. If you require workplace accommodations during the application or onboarding process, please visit this link . We are an equal opportunity employer, committed to diversity More ❯
in the conception and implementation of complex software solutions in an international context. • Solid experience with Fullstack development with focus on REST APIs and event driven architecture (e.g. Kafka, Kinesis, SQS, MQTT). • Knowledge of HTML5, CSS, SASS, JavaScript, Typescript and JSON as well as how to connect web services considering the REST paradigm. • Experience with JavaScript frameworks (preferably More ❯
Advanced knowledge of bounded contexts, 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, GitLab CI, GitHub Actions), and More ❯
Amazon Last Mile - Routing and Planning DE Design, implement, and support data warehouse/data lake infrastructure using AWS big data stack, Python, Redshift, Quicksight, Glue/lake formation, EMR/Spark/Scala, Athena etc. • Extract huge volumes of structured and unstructured data from various sources (Relational/Non-relational/No-SQL database) and message streams and … intelligence engineer, data scientist) with a track record of manipulating, processing, and extracting value from large datasets PREFERRED QUALIFICATIONS - Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions - Experience with non-relational databases/data stores (object storage, document or key-value stores, graph databases, column-family databases) - Experience building … support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. More ❯
Would you like to work on one of the world's largest transactional distributed systems? How about working with customers and peers from the entire range of Amazon's business on cool new features? Whether you're passionate about building highly scalable and reliable systems or a software developer who likes to solve business problems, Selling Partner Services (SPS … responsibilities 1. Design/implement automation and manage our massive data infrastructure to scale for the analytics needs of case management. 2. Build solutions to achieve BAA(Best At Amazon) standards for system efficiency, IMR efficiency, data availability, consistency & compliance. 3. Enable efficient data exploration, experimentation of large datasets on our data platform and implement data access control mechanisms … and WW) use cases on our data platform 5. Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL, Amazon and AWS big data technologies 6. Must possess strong verbal and written communication skills, be self-driven, and deliver high quality results in a fast-paced environment. 7. Drive More ❯
to design innovative data solutions that address complex business requirements and drive decision-making. Your skills and experience Proficiency with AWS Tools: Demonstrable experience using AWS Glue, AWS Lambda, AmazonKinesis, Amazon EMR , Amazon Athena, Amazon DynamoDB, Amazon Cloudwatch, Amazon SNS and AWS Step Functions. Programming Skills: Strong experience with modern programming languages More ❯
Sr. Applied Scientist, Supply Chain Optimization Amazon Supply Chain forms the backbone of the fastest growing e-commerce business in the world. The sheer growth of the business and the company's mission "to be Earth's most customer-centric company" makes the customer fulfillment business bigger and more complex with each passing year. The SC Optimization and Automation … deviation analysis - Familiarity with Operations concepts - Planning, Forecasting, Optimization, and Customer experience - gained through work experience or graduate level education - Experience with AWS services including S3, Redshift, Sagemaker, EMR, Kinesis, Lambda, and EC2 Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on … support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. More ❯
