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Data Quality Engineer

Maharashtra, India (Hybrid)

Data Quality Engineer

2 Months ago • All levels • Data Analyst • Undisclosed

About the job

4 skills required for this role

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Job Description

Coupa makes margins multiply through its community-generated AI and industry-leading total spend management platform for businesses large and small. Coupa AI is informed by trillions of dollars of direct and indirect spend data across a global network of 10M+ buyers and suppliers. We empower you with the ability to predict, prescribe, and automate smarter, more profitable business decisions to improve operating margins.

Why join Coupa?

🔹 Pioneering Technology: At Coupa, we're at the forefront of innovation, leveraging the latest technology to empower our customers with greater efficiency and visibility in their spend.

🔹 Collaborative Culture: We value collaboration and teamwork, and our culture is driven by transparency, openness, and a shared commitment to excellence.

🔹 Global Impact: Join a company where your work has a global, measurable impact on our clients, the business, and each other.

Learn more on Life at Coupa blog and hear from our employees about their experiences working at Coupa.

What you will do:

Ensure the quality and reliability of data used in ML/AI and Generative AI products
Perform thorough Data Analysis: evaluating Data Quality, Test Machine
Learning Models & Visualizations, outlier detection, and the use of statistical methods to define and monitor valid data ranges.
Collaborate with data scientists, engineers, and product managers to understand the data needs and requirements of different AI applications
Develop an automation strategy to develop automated tests to validate large data sets across products in Coupa
Develop test strategies, create test plans, and execute test cases – both manually and via automation to test Coupa's data-oriented products and data Integrations
Design, implement, and maintain data validation frameworks and data quality monitoring systems
Work closely with Scrum team members to clarify requirements, ensure testability and automatability, and provide feedback on design (functional and technical)
Analyze the potential impact of the requirement changes, assess risk, and be a vocal champion for quality in every phase of the development process
Continue to improve automation coverage & reduce regression cycles

What you will bring to Coupa:

Experience writing complex queries on large customer data sets
Familiarity with ML/AI and Generative AI techniques, frameworks, and associated toolchains
Understanding of statistical analysis and familiarity with core statistical functions
Strong hands-on experience working with APIs & API automation
Excellent communication skills & ability to drive & collaborate with cross teams
Experience working in Agile development processes & working with offshore teams

#LI-Hybrid

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At Coupa, we celebrate diversity and recognize its value to our customers and employees. Coupa is proud to be an equal-opportunity workplace and affirmative-action employer. All qualified applicants will receive consideration for employment regardless of age, race, color, religion, sex, sexual orientation, gender identity, national origin, genetic information, disability, veteran status, or any other applicable status protected by state or local law.

Please be advised that inquiries or resumes from recruiters will not be accepted.

By submitting your application, you acknowledge that you have read Coupa’s Privacy Policy and understand that Coupa receives/collects your application, including your personal data, for the purposes of managing Coupa's ongoing recruitment and placement activities, including for employment purposes in the event of a successful application and for notification of future job opportunities if you did not succeed the first time. You will find more details about how your application is processed, the purposes of processing, and how long we retain your application in our Privacy Policy.

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