Big Data QA Engineer

Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As one of the fastest-growing SaaS companies in history, we surpassed $2B in revenue in our last fiscal year with extensive growth potential ahead.

At the heart of Veeva are our values: Do the Right Thing, Customer Success, Employee Success, and Speed. We're not just any public company – we made history in 2021 by becoming a public benefit corporation (PBC), legally bound to balancing the interests of customers, employees, society, and investors.

As a Work Anywhere company, we support your flexibility to work from home or in the office, so you can thrive in your ideal environment.

Join us in transforming the life sciences industry , committed to making a positive impact on its customers, employees, and communities.

The Role

Veeva Systems is looking for a curious, adaptable, experienced, and creative QA Engineer to join our successful and growing R&D team.

The project is the Veeva Data Platform, a leading big-data ETL system that processes transactions and matches identities while preserving privacy.

What You'll Do

• Write and maintain integration, sanity, and regression tests for our Production products and services
• Create clear test plans that will be executed by them and team members
• Create and maintain documented coverage of tests
• Review and analyze test results
• Work on CI/CD tools (Git, Jenkins, JIRA) daily
• Take part in all scrum activities (estimation sessions, planning, reviews)
  
  

• Data analysis experience - solid knowledge of SQL and scripting
• 2+ years and up to 5 years of proven experience and strong knowledge of software QA methodologies, tools, and processes
• Strong analytical and troubleshooting skills
• Experience with creating and maintaining tests for production environment
• Self-motivated and fast learner with a strong sense of ownership
• Bachelor’s in Computer Science or similar field
• Some experience writing automation code
• Knowledge of Agile/Scrum development methodologies
• Strong verbal and written communication skills in English
  
  

• Knowledge of the Pharma/Life Sciences industry
• Experience with working in a distributed team
• Experience with Big Data Processing