
Cloud Data Engineer for Pharmaceutical Company
5 days ago
We are seeking a candidate with an educational background in Computer Science and Software Development.
- Strong proficiency in Python programming is required to build scalable solutions in the cloud.
- A deep understanding of Azure architecture and services, including Azure Data Factory and Azure Databricks, is essential.
- Experience in using Spark, including Spark SQL, is necessary to optimize performance.
- Automated unit testing and code quality inspection are crucial to ensure data accuracy and quality.
- CI/CD Pipelines using Azure DevOps (or similar) should be designed and implemented.
- Collaboration with cross-functional teams is necessary to design, develop and maintain data pipelines and analytics solutions.
The company overview focuses on improving the clinical experience for patients, doctors and nurses worldwide.
Job Description
You will play a key role in shaping the future of clinical trials and patient care by building scalable solutions in the cloud.
Design and build a foundational platform for a modern data lake architecture, optimizing it for scalability, flexibility, and performance.
Develop automated tests to ensure data accuracy and quality.
Assist with planning and maintaining the Azure architectural runway and pipeline for multiple products, ensuring their stability and efficient operation.
Act as a sparring partner on the use of Azure services for the organisation.
Leverage expertise in cloud development to design and implement innovative digital solutions focused on delivering business insights and patient care in real time.
Requirements
Python, Azure, Azure Data Factory, Azure Databricks, Spark, SQL, CI, CD pipelines, Azure DevOps.
Benefits
Sport subscription and private healthcare.
Others
International projects may be available.
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