Cloud Data Developer
7 days ago
About WaferWire Cloud Technologies:
We deliver comprehensive cloud, data, and AI solutions through Microsoft's technology stack.
Our services include strategic consulting, data/AI estate modernization, and cloud adoption strategy.
Solution design encompasses application, data, and AI modernization, as well as infrastructure planning and migrations.
We provide operational readiness services for seamless DevOps, ML Ops, AI Ops, and Sec Ops implementation.
Our goal is to deliver scalable solutions that cater to diverse business requirements across multiple time zones (US time zone alignment).
About the ProjectThis project aims to revolutionize healthcare data management by developing advanced data pipelines and integration solutions.
The goal is to enhance the efficiency and accuracy of healthcare data ingestion, monitoring, and reporting.
The project encompasses multiple tracks of work, including release management, DevOps, data solutions, FHIR (Fast Healthcare Interoperability Resources), and platform development.
About the RoleThis role focuses on delivering data solutions within the Fabric environment, ensuring seamless data integration and management.
By leveraging cutting-edge technologies and best practices, this project will provide valuable insights and improve overall data operations within the healthcare and life sciences sector.
Responsibilities:- Design and develop Python applications using best practices.
- Write clean, well-documented code with a focus on reusability and maintainability.
- Contribute to the overall architecture and design of cloud-based applications.
- Write comprehensive unit and integration test cases using Pytest and unit test frameworks.
- Develop automated testing suites to ensure application stability and functionality.
- Implement test-driven development methodologies.
- Identify and troubleshoot issues through thorough testing and debugging.
- Collaborate with cross-functional teams (designers, product managers) to ensure project alignment.
- Proficient in Python programming language and best practices.
- Experience with Azure DevOps for designing, implementing, and optimizing cloud infrastructure, CI/CD pipelines, and security compliance.
- Extensive experience with testing frameworks like Pytest and unit test.
- Familiarity with SQL and data manipulation techniques.
- Knowledge of version control systems (Git).
- Familiarity with data warehouse concepts.
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