Quality Engineer

Our Company

At Teradata, we believe that people thrive when empowered with better information. That’s why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers—and our customers’ customers—to make better, more confident decisions. The world’s top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise.

What you will do:

Our Data Analytics Engineering team develops advanced analytics and solutions, including a cutting-edge vector store and Generative AI (GenAI) capabilities, all operating within Teradata’s massively parallel, linearly scalable, enterprise-class data warehouse. These innovations help organizations extract valuable insights from vast datasets. As a team member, you will collaborate with engineers developing the Teradata Analytics Platform’s analytic functions (e. g. , Machine Learning, Statistical, Text), vector store, and GenAI features. You will gather test requirements, create and execute test plans, and perform both manual and automated testing to ensure the highest quality of these distributed, highly parallel functions designed to process massive datasets with linear scalability and high performance.

Job Responsibilities:

• Perform functional testing of complex analytic functions, including designing test scenarios, creating test plans, and implementing, automating, and executing test cases.
• Test the analytic functions, vector store, and GenAI features for scalability and performance.
• Ensure the accuracy of analytic functions by writing scripts in SQL, Python, and R.
• Identify and propose improvements throughout the software development lifecycle.
• Adapt and work effectively in a fast-paced, dynamic environment.
• Communicate clearly and efficiently with stakeholders at all levels.
  
  

Who you will work with:

• Collaborate with some of the brightest minds in the company who value diversity, equity, and inclusion, working cohesively to deliver high-quality, critical, and highly visible Generative AI and machine learning functionalities within the Teradata Vantage platform.
• You will report directly to the Manager of the analytics team.
  
  

What makes you a qualified candidate:

• MSc in Computer Science, Statistics, or Mathematics.
• 5+ experience in quality testing
• Strong knowledge of Machine Learning algorithms.
• Proficiency in working within Linux environments.
• Passion for maintaining high-quality standards and identifying tests that break code.
• Ability to identify and clearly document software defects with complete information for developers to reproduce and debug issues.
• Experience in building and running test automation in a CI/CD pipeline.
• Strong ability to prioritize and work on multiple projects simultaneously.
• Proven ability to collaborate effectively with team members and across functional groups.
• Excellent interpersonal, written, and oral communication skills.
  
  

What you will bring:

• Prior experience with the Teradata database.
• Familiarity with Agile development practices and experience working in scrum teams.
• Experience with test frameworks for automation.
  
  
  
  

Why We Think You’ll Love Teradata

We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are.

Teradata invites all identities and backgrounds in the workplace. We work with deliberation and intent to ensure we are cultivating collaboration and inclusivity across our global organization. We are proud to be an equal opportunity and affirmative action employer. We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status.