Senior Data Engineer

1 week ago

Taiwan Parexel Full time $90,000 - $120,000 per year

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.

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