Omni Inclusive
Sr. Data Engineer with Data Bricks
Omni Inclusive, Houston, Texas, United States, 77246
Job description :
7 years or more relevant software development experience with a fairly "Full Stack " profileExperience of delivery within a trading environment.Experience working in fast- paced project delivery using AGILE methodsStrong software development skills, knowledge of best practices (SOLID, CI/CD, etc.)Python 3Creating applications and packagesWriting reliable unit and end-to-end tests with PyTestData manipulation with PandasWeb development with PythonMS Azure: virtual networks, key vaults and storage, securityMS DevOps pipelinesKubernetes containersReactJS front end development experienceMS SQL backend development experienceExperience in developing API's in python using
FastAPIHands on in ADF and Azure DatabricksDesirable:
Knowledge of physical commodities trading markets and organisations (esp. Client/ gas/oil).Useful to have Data Engineering experience blended along with core software engineering experienceExperience of working directly with traders on trader models.Python: Bokeh visualization, Tornado web framework, asyncio programming, Azure Python APIHashicorp Terraforms (azurerm)Kafka ConfluentConda package managementBasic knowledge in numerical calculus, such as multi-dimensional function interpolation, numerical differentiationBasic understanding of the WebSockets protocolKnowledge of the OAuth2 and web securityBasic knowledge of modern JavaScript, TypeScript, Node.jsPersonal Attributes:
determined focus on the user and user experience when problem- solvingTeam player and able to collaborate, proactively communicates and shares understanding and experience within a teamClear communicator and able to work in a multicultural/lingual environmentUses initiative and owns their deliverables end-to-endBrings ideas to the table, is inquisitive and excited by new technologyUsed to working in a flexible, independent manner on a mixture of small unstructured and large structured itemsProvides regular, considered feedback and regularly strives to improve their own ways of working
7 years or more relevant software development experience with a fairly "Full Stack " profileExperience of delivery within a trading environment.Experience working in fast- paced project delivery using AGILE methodsStrong software development skills, knowledge of best practices (SOLID, CI/CD, etc.)Python 3Creating applications and packagesWriting reliable unit and end-to-end tests with PyTestData manipulation with PandasWeb development with PythonMS Azure: virtual networks, key vaults and storage, securityMS DevOps pipelinesKubernetes containersReactJS front end development experienceMS SQL backend development experienceExperience in developing API's in python using
FastAPIHands on in ADF and Azure DatabricksDesirable:
Knowledge of physical commodities trading markets and organisations (esp. Client/ gas/oil).Useful to have Data Engineering experience blended along with core software engineering experienceExperience of working directly with traders on trader models.Python: Bokeh visualization, Tornado web framework, asyncio programming, Azure Python APIHashicorp Terraforms (azurerm)Kafka ConfluentConda package managementBasic knowledge in numerical calculus, such as multi-dimensional function interpolation, numerical differentiationBasic understanding of the WebSockets protocolKnowledge of the OAuth2 and web securityBasic knowledge of modern JavaScript, TypeScript, Node.jsPersonal Attributes:
determined focus on the user and user experience when problem- solvingTeam player and able to collaborate, proactively communicates and shares understanding and experience within a teamClear communicator and able to work in a multicultural/lingual environmentUses initiative and owns their deliverables end-to-endBrings ideas to the table, is inquisitive and excited by new technologyUsed to working in a flexible, independent manner on a mixture of small unstructured and large structured itemsProvides regular, considered feedback and regularly strives to improve their own ways of working