Role Azure data engineer only h1b and pp is must
Mandatory Skill’s : Python , Data Bricks , Azure (ADF, ADO, ADLS,) ,DevOps experience(Terraform, Jenkins, CI/CD)
Job description :
· 7 years or more relevant software development experience with a fairly “Full Stack” profile
· Experience of delivery within a trading environment.
· Experience working in fast- paced project delivery using AGILE methods
· Strong software development skills, knowledge of best practices (SOLID, CI/CD, etc.)
· Python 3
· Creating applications and packages
· Writing reliable unit and end-to-end tests with PyTest
· Data manipulation with Pandas
· Web development with Python
· MS Azure: virtual networks, key vaults and storage, security
· MS DevOps pipelines
· Kubernetes containers
· ReactJS front end development experience
· MS SQL backend development experience
· Experience in developing API’s in python using FastAPI
· Hands on in ADF and Azure Databricks
Desirable:
· Knowledge of physical commodities trading markets and organisations (esp. LNG/ gas/oil).
· Useful to have Data Engineering experience blended along with core software engineering experience
· Experience of working directly with traders on trader models.
· Python: Bokeh visualization, Tornado web framework, asyncio programming, Azure Python API
· Hashicorp Terraforms (azurerm)
· Kafka Confluent
· Conda package management
· Basic knowledge in numerical calculus, such as multi-dimensional function interpolation, numerical differentiation
· Basic understanding of the WebSockets protocol
· Knowledge of the OAuth2 and web security
· Basic knowledge of modern JavaScript, TypeScript, Node.js
Personal Attributes:
· A determined focus on the user and user experience when problem- solving
· Team player and able to collaborate, proactively communicates and shares understanding and experience within a team
· Clear communicator and able to work in a multicultural/lingual environment
· Uses initiative and owns their deliverables end-to-end
· Brings ideas to the table, is inquisitive and excited by new technology
· Used to working in a flexible, independent manner on a mixture of small unstructured and large structured items
· Provides regular, considered feedback and regularly strives to improve their own ways of working
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