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
possible ROLE: Data Engineers are responsible for building and maintaining Big Data Pipelines using GROUP work independently and multi-task. Experience building data pipeline using AWS Glue or Data Pipeline Step Function Param Store Secrets Manager Code Build/Pipeline CloudFormation Business Intelligence (BI)
Integrate automation testing at various stages of the build and deploy pipeline for development, regression release cycles. Working with the feature teams to build up disposable test environments. Overall management Python (Django) CI/CD: GitHub Version Control, Build and Deployment Pipelines using GitHub Actions Databases:
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
analyse market trends with foresight and pro-actively build the required know-how. You work very closely with
(Jasmine/Karma/Selenium/Cucumber/Wire Mock) IntelliJ / WebStorm. Build Tools (Maven/ Gradle/ Gulp/grunt/webpack). Jenkins