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17 WaferWire Cloud Technologies Jobs

Python Application Engineer ( Azure Data )

3-6 years

Hyderabad / Secunderabad

1 vacancy

Python Application Engineer ( Azure Data )

WaferWire Cloud Technologies

posted 4d ago

Job Description

About Project:
This 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 Role:
Specifically, this 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.
  • Implement data processing pipelines using PySpark for large-scale data manipulation.
  • 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.
  • Work closely with cross-functional teams (designers, product managers) to ensure project alignment. Participate in code reviews and knowledge sharing sessions.
Required Qualifications:
  • Proficient in Python programming language and best practices.
  • Extensive experience with testing frameworks like Pytest and unit test.
  • Familiarity with SQL and data manipulation techniques.
  • Experience with PySpark for large-scale data processing (preferred).
  • Knowledge of version control systems (Git).
  • Familiarity with DE and Data Warehouse concepts house concepts

Employment Type: Full Time, Permanent

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Free Transport
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