the following technologies - Python, REST, PyTorch, TensorFlow, Docker, FastAPI, Selenium, React, TypeScript, Redux, GraphQL, Kafka, Apache Spark. Experience working with one or more of the following database systems - DynamoDB, DocumentDB, MongoDB Demonstrated expertise in unit testing and tools - JUnit, Mockito, PyTest, Selenium. Strong working knowledge of the PyData stack - pandas, NumPy for data manipulation; Jupyter Notebooks for experimentation; matplotlib More ❯
Responsibilities and Impact Develop and maintain backend services using Python with a focus on AWS Lambda. Design and implement user interfaces using Angular, hosted in Cloudfront. Work with AWS DocumentDB for database management and integration. Collaborate with cross-functional teams to define, design, and ship new features. Ensure the performance, quality, and responsiveness of applications. Identify and correct bottlenecks More ❯
include driving revenue, adoption, and market penetration of the industry's broadest and deepest portfolio of database solutions, with game-changing products such as Amazon RDS, Aurora, DynamoDB, Neptune, DocumentDB, etc. Further Roles & Responsibilities Drive revenue and market share for AWS data, database services in a defined territory or industry vertical, Meeting or exceeding quarterly revenue targets Develop and More ❯
Agile team contributing to the design, coding, testing and delivery of applications and services. Have technical expertise in one or more of the following technology areas: NoSQL, such as DocumentDB/MongoDB RDF Graph database such as GraphDB ML/AI such as Sagemaker/Bedrock Search technologies such as SOLR or Opensearch/ElasticSearch Data pipeline engineering utilising More ❯
Agile team contributing to the design, coding, testing and delivery of applications and services. Have technical expertise in one or more of the following technology areas: NoSQL, such as DocumentDB/MongoDB RDF Graph database such as GraphDB ML/AI such as Sagemaker/Bedrock Search technologies such as SOLR or Opensearch/ElasticSearch Data pipeline engineering utilising More ❯
and adapt to new technologies and tools. What makes you stand out? Certification in MongoDB administration. Experience with cloud technologies, particularly AWS. Familiarity with other database technologies, such as DocumentDB and DynamoDB. Experience with database performance monitoring and tuning tools. Understanding of DevOps principles and experience with CI/CD pipelines. Experience with database automation and orchestration tools. Why More ❯
