Fully Remote Azure Python Developer


Premium Job From Nigel Frank International

Recruiter

Nigel Frank International

Listed on

12th October 2022

Location

Philadelphia

Salary/Rate

£106622 - £147631

Type

Permanent

Start Date

ASAP

This job has now expired please search on the home page to find live IT Jobs.

Azure-Python Product DeveloperMust reside in the US - preferably in the Northeast or Mid-Atlantic Regions. Telecommuting permitted. Travel may be required for appropriate technology sessions.. Candidates must be eligible to work in the US without sponsorship.Who we are:We provide solutions that leverage sophisticated machine learning, artificial intelligence (ontologies, inference engines and rules) and natural language processing to provide highly actionable insights and recommendations to business users. Today, our solutions impact just about every aspect of the products you buy at your local store - from what is available to how it is priced and even where it is placed on the shelf. Our SaaS solutions are deployed within private clouds - principally on Azure. We help transform market-leading companies into true data-driven digital enterprises.What you will do: The successful candidate will join a diverse team that manages all of our Solution offerings thru their product lifecycles. The key responsibilities are:Develop, maintain and enhance Enterra's Cloud Solution offerings principally on Azure - these solutions support multiple clients.Integrates data across the solutions including end-user interfaces.Ensure high-performance and responsiveness of solutionsImplement authorization, security and data protection within the solutions.Responsibilities Include:Developing reusable, testable, and efficient code.Designing and implementing low-latency, high-availability, and performant applications within cloud environments - principally Azure under KubernetesIntegration of data storage solutions that may include databases, data lakes, data warehouses, blob stores, etc.Integration of user-facing elements developed by front-end developers with server side logicCreation and application of test plans for the responsible code modules.Creation of documentation of the assigned code modules.Participate in regular SDLC activities ranging from estimation, status reporting, SCRUM sessions, design meetings, code reviews etc.Requirements:Bachelor's Degree in Computer Science, Software Engineering or other STEM field.Minimum of 3 years experience in a product development role.Experience with Azure Kubernetes Services.Experience with Python including knowledge of at least one Python web framework e.g., Django, FlaskUnderstanding of accessibility and security compliance.Knowledge of user authentication and authorization between multiple systems, servers, and environments.Strong unit test and debugging skills.Proficient understanding of code versioning tools.Good verbal and written communication skills - Ability to clearly communicate with business and technical personnel both internally and externally. This includes documentation, presentations and individual analysis sessions.Quick learner and self-starter who is resourceful with a detail-oriented mindset and uses resources at hand to search for answers and strengthen understanding of projects and tools.

The following additional skills would be beneficial:

Familiarity with event-driven programming in PythonFamiliarity with some stdlib, ORM (Object Relational Mapper) and/or other libraries to enable database connectionsUnderstanding of the threading limitations of Python, and multi-process architectureUnderstanding of fundamental design principles behind a scalable applicationKnowledge of the CPG and Retail IndustriesBasic understanding of front-end technologies, such as JavaScript, HTML5, and CSS3Working knowledge of one or more of the following technologies: Data Science, Machine Learning, Natural Language Processing, Ontologies, Business Rules, Business Intelligence, Data Visualization.Working knowledge of statistics and experience using statistical or BI packages for analyzing large datasets (Excel, R, Python, Power BI, Tableau etc.).

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