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Data Engineer

A global healthcare company with over 125 years of history, focused on developing innovative medical solutions and advancing science to improve healthcare access.
Mississauga, ON, Canada
Data
Senior Software Engineer
In-Person
5,000+ Employees
5+ years of experience
Healthcare · AI

Description For Data Engineer

Roche, a global healthcare pioneer with over 125 years of history, is seeking a Data Engineer to join their innovative team. This role sits at the intersection of data engineering and healthcare, offering an opportunity to impact global healthcare solutions through advanced data systems.

The position involves designing and implementing sophisticated data pipelines, working with modern cloud infrastructure on AWS, and utilizing cutting-edge tools like Snowflake and dbt. You'll be responsible for supporting data science initiatives and ensuring robust data governance in a regulated pharmaceutical environment.

As a Data Engineer at Roche, you'll be part of a company that values personal expression and open dialogue, where your unique qualities are embraced and respected. The role offers a chance to work on complex healthcare challenges while building scalable data solutions that directly impact patient care and medical advancement.

The ideal candidate brings 5-7 years of experience in data engineering, strong Python and SQL skills, and expertise in cloud services. You'll work in an environment that encourages innovation and collaboration, contributing to Roche's mission of ensuring everyone has access to healthcare today and for generations to come.

This position offers the opportunity to work with a global team of 100,000+ employees dedicated to advancing science and healthcare solutions. You'll be part of an organization that emphasizes scientific rigor, ethics, and accessibility of medical innovations, making a meaningful impact on global healthcare while developing your career in a supportive, forward-thinking environment.

Last updated a day ago

Responsibilities For Data Engineer

  • Design, develop, and maintain scalable data pipelines and ETL/ELT processes
  • Implement data models in Snowflake for efficient data storage and analytics
  • Develop and maintain AWS-based data infrastructure
  • Optimize database performance and enhance data flow patterns
  • Support data science and analytics teams
  • Implement data governance and security measures
  • Automate and orchestrate workflows using Airflow or Prefect

Requirements For Data Engineer

Python
  • Bachelor's or Master's degree in Computer Science, Data Engineering, or related field
  • 5-7 years of experience in data engineering or related IT field
  • Strong proficiency in Python for data processing and automation
  • Hands-on experience with AWS cloud services
  • Experience with Snowflake and dbt for data transformations
  • Proficiency in SQL for database design and optimization
  • Knowledge of data orchestration tools
  • Understanding of data governance and regulatory compliance

Benefits For Data Engineer

  • Equal Opportunity Employer

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