Senior Data Engineer

Reposted Yesterday
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Taipei City
In-Office
Senior level
Pharmaceutical
The Role
The role involves designing data pipelines, managing cloud data infrastructure, and optimizing ETL workflows while collaborating with cross-functional teams.
Summary Generated by Built In

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.

  • 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.

Top Skills

Spark
AWS
Azure
Databricks
Datadog
Hadoop
Informatica
Kafka
Prometheus
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The Company
HQ: Durham, North Carolina
20,524 Employees

What We Do

Parexel is among the world’s largest clinical research organizations (CROs), providing the full range of Phase I to IV clinical development services to help life-saving treatments reach patients faster. Leveraging the breadth of our clinical, regulatory and therapeutic expertise, our team of more than 21,000 global professionals collaborates with biopharmaceutical leaders, emerging innovators and sites to design and deliver clinical trials with patients in mind, increasing access and participation to make clinical research a care option for anyone, anywhere. Our depth of industry knowledge and strong track record gained over the past 40 years is moving the industry forward and advancing clinical research in healthcare’s most complex areas, while our innovation ecosystem offers the best solutions to make every phase of the clinical trial process more efficient. With the people, insight and focus on operational excellence, we work With HeartTM every day to treat patients with dignity and continuously learn from their experiences, so every trial makes a difference. For more information, visit parexel.com.

Community Guidelines
Because Parexel’s social media channels are open to the general public and employees, we are not responsible for views expressed other than our own. However, we do not tolerate posts that are:

• Abusive, harassing or threatening to others.
• Defamatory, offensive, obscene, vulgar or depicting violence.
• Hateful targeting by race/ethnicity, age, color, creed, religion, gender,
sexual preference or orientation, nationality or political beliefs.
• Sexually explicit or pornographic.
• Fraudulent, deceptive, libelous, misleading or unlawful.
• Referencing criminal or illegal activity.
• Spamming.

We reserve the right to remove any comments that do not adhere to our guidelines as well as report users who violate the rules of our page.

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