and Responsibilities:
development tools, techniques and approaches used to build application solutions Working knowledge with software development tools, techniques and approaches used to build application solutions Cloud computing technologies Development) Key Skills (or equivalent): Building CLI Tools Building Python Libraries Python Unit Testing improvement - and passionately pursuing solutions. Building purpose and ownership - striving for meaning and
development tools, techniques and approaches used to build application solutions Working knowledge with software development tools, techniques and approaches used to build application solutions Cloud computing technologies Development) Key Skills (or equivalent): Building CLI Tools Building Python Libraries Python Unit Testing improvement - and passionately pursuing solutions Building purpose and ownership - striving for meaning and
Job Spec:
Kindly
functional and other technical team members to build and implement end-to-end solutions for their finance functional requirements o Building and working with multi-dimensional cubes o Building OneStream data integrations following OneStream objects: - Metadata design and build - Workflow profiles - Complex business and confirmation
Azure DevOps. Join our team and contribute to building robust, reusable code for integrating multiple lambda expressions and streams) Experience in building reusable code Proficient with Azure DevOps Knowledge
of experience: 4 - 6 yrs. Cost variance use case build. Data Science.
Engineer (Expert) and leverage your skills in building and maintaining Big Data Pipelines using advanced developing and working with REST APIs. - Experience building data pipelines using AWS Glue or Data Pipeline Function - Param Store - Secrets Manager - Code Build/Pipeline - CloudFormation - Business Intelligence RESPONSIBILITIES: Data Engineers are responsible for building and maintaining Big Data Pipelines using Data
environments, infrastructure, build and deployment pipelines. Maintain, build, and setup new development and release processes. Work with QA Engineers to build disposable test environment and automated testing dependant software i.e., Webservers, Java, Docker. Build tools to reduce occurrences of errors and improve
Africa as a Senior AWS Data Engineer, where you'll build and maintain Big Data pipelines, leveraging cutting-edge Expectations) - Development and working with REST APIs - Building data pipelines using AWS Glue, Data Pipeline, Function - Param Store - Secrets Manager - Code Build/Pipeline - CloudFormation - Business Intelligence Associate Core Role Tasks and Responsibilities: - Build and maintain Big Data Pipelines using Data Platforms