Jobs at Parexel
Are you ready to make your mark in the healthcare industry using your ingenuity and technical expertise? At Parexel, there's no limit to what you can accomplish. We work with the top 50 global pharmaceutical companies, the top global biotech companies, and hundreds of small and emerging companies. We've supported the development of some of the most important treatments of our time, including nearly all of the 50 top selling drugs currently on the market. Join us and you'll make a profound difference in millions of lives. With a role in our Information Technology group, you'll work with cutting-edge technology on internal and client-facing projects. Collaborating with people from all over the world and touching everything from enterprise systems and clinical applications to infrastructure and networking, you'll keep our data safe and confidential. You'll have the chance to develop your skills and pursue advancement opportunities that include managerial and technical tracks. If you have stellar coding and design experience and a passion to learn more about healthcare, Parexel invites you to discover our rewarding opportunities in Enterprise Architecture, Software Development, Project Management and Business Analysis, and more. In a global clinical trial environment, business-focused applications, connectivity, and data security are critical to a trial's outcome. Find out how you can be an invaluable part of our success story.
Senior Data Engineer
Job ID R0000035260 Taipei, Taiwan, Taiwan- Architect, implement, and optimize ETL/ELT workflows using tools such as Databricks and Informatica to ingest and process large datasets.
- Deploy and manage data infrastructure on Azure and AWS, including containerized services and serverless components.
- Partner with data scientists, software engineers, and business stakeholders to translate requirements into scalable data solutions.
- Monitor and tune pipeline performance, implement robust monitoring/alerting (e.g., Prometheus, DataDog), and troubleshoot production issues.
- Define and enforce data validation rules, lineage tracking, and governance standards to ensure accurate and compliant data usage.
- Build CI/CD pipelines for data code, automate deployments, and support model operationalization workflows.
- Share knowledge of data engineering best practices, conduct code reviews, and mentor junior engineers.
Qualification:
- Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field.
- 8+ years of hands-on experience designing and building data pipelines and infrastructure.
- Strong proficiency in data engineering tools and technologies, such as Apache Spark, Hadoop, Kafka, and cloud-based platforms (AWS, Azure, or GCP).
- Hands-on experience with data modeling, ETL processes, and distributed data processing frameworks.
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