Senior Data Engineer
1 week ago
When our values align, there's no limit to what we can achieve.
At Parexel, we all share the same goal - to improve the world's health. From clinical trials to regulatory, consulting, and market access, every clinical development solution we provide is underpinned by something special - a deep conviction in what we do.
Each of us, no matter what we do at Parexel, contributes to the development of a therapy that ultimately will benefit a patient. We take our work personally, we do it with empathy and we're committed to making a difference.
Required Skills:
With a focus on automating testing and DevOps, use Microsoft Azure data PaaS services, design, build, modify, and support data pipelines leveraging DataBricks and PowerBI in a medallion architecture setting.
Working experience of Python.
Automate the running of unit and integration tests on all created code – Create and run unit and integration tests throughout the development lifecycle.
Support and Troubleshooting – Assist the Operations Team with any environmental issues that arise during application deployment in the Development, QA, Staging, and Production environments.
If necessary, create prototypes to validate proposed ideas and solicit input from stakeholders.
Excellent grasp of and expertise with test-driven development and continuous integration processes.
Analysis and Design – Converts high-level design to low-level design and implements it.
Collaborate with Team Leads to define/clarify business requirements, estimate development costs, and finalize work plans.
Benchmark application code proactively to prevent performance and scalability concerns.
Collaborate with the Quality Assurance Team on issue reporting, resolution, and change management.
Assist other teams in resolving issues that may develop as a result of applications or the integration of multiple components.
Education:
Bachelor's Degree or equivalent combination of education and experience.
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