Senior Quality Assurance Specialist for Life Sciences Data Platform

1 week ago


Old Toronto, Canada Tampa Gardens Senior Living Full time

Veeva Systems is a mission-driven organization and industry cloud pioneer, helping life sciences companies bring therapies to patients faster. Their core values are Customer Success, Employee Success, and Speed.

As a Work Anywhere company, they support flexibility in work environments, whether at home or in the office, allowing employees to thrive in their ideal settings.

The company is committed to making a positive impact on its customers, employees, and communities.

The Role

Veeva OpenData supports the industry by providing real-time reference data across the healthcare ecosystem, facilitating commercial sales execution, compliance, and business analytics.

As a Senior QA Engineer in OpenData, you will lead the effort in building the QA framework from the ground up and overseeing the overall QA of the Data Platform for OpenData.

This position demands end-to-end ownership, giving you the freedom to determine the correct course of action, conduct thorough due diligence, and execute solutions in your own creative way.

Key Responsibilities

  • Identify project scope, expected outcomes, data models, and relevant business rules.
  • Create test cases for applications using ETL components.
  • Identify key ETL mapping scenarios and develop SQL queries simulating them.
  • Automate ETL test cases wherever possible.
  • Test data accuracy and completeness.
  • Verify data source locations and formats, perform data counts, and ensure columns and data types meet requirements.

Requirements

  • 5+ years of experience with ETL Testing.
  • Experience creating test cases for applications using ETL components.
  • Experience analyzing ETL mapping documents.
  • Proficiency in writing advanced SQL queries.
  • Understanding of data flow between systems and their data models.
  • Experience with Cloud infrastructure platforms like AWS.
  • Must possess strong analytical and problem-solving skills.
  • Experience automating features for better regression coverage.
  • Good verbal and written communication and proven experience working in an Agile environment.
  • Bachelor's degree in computer science/engineering or equivalent.
  • Familiarity with object-oriented programming and scripting languages like Java, Python.

Nice to Have

  • Hands-on experience with DevOps tools and CI/CD.
  • Experience with PySpark.
  • Previous experience in the Life Sciences sector.

Compensation Package

  • $122,000 - $157,000 CAD per annum, reflecting the role's value to the organization.


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