Coupa enables organizations to function more intelligently and accelerate their growth. Our premier AI-powered platform integrates and enhances sourcing, procurement, supply chain management, and financial oversight.
Over 3,000 organizations worldwide, regardless of size, rely on Coupa to improve operating margins, boost efficiencies and growth, optimize cash flow, and mitigate risks.
Company :- Coupa
Job Role :- Data Quality Engineer
Experience :- 3 to 5 years
Qualification :- Any Degree in Computer science
Location :- Pune
Work :-
- Ensure the integrity and dependability of data utilized in Machine Learning, Artificial Intelligence, and Generative AI products.
- Conduct comprehensive data analysis, focusing on data quality assessment, testing of machine learning models and visualizations, outlier identification, and the application of statistical techniques to establish and oversee acceptable data ranges.
- Engage collaboratively with data scientists, engineers, and product managers to ascertain the data requirements and expectations for various AI applications.
- Formulate an automation strategy aimed at creating automated tests to validate extensive data sets across Coupa's product offerings.
- Devise testing strategies, develop test plans, and execute test cases—both manually and through automation—to evaluate Coupa's data-centric products and data integrations.
- Design, implement, and sustain frameworks for data validation and systems for monitoring data quality.
- Work in close collaboration with Scrum team members to clarify requirements, ensure testability and automation feasibility, and provide constructive feedback on both functional and technical design aspects.
- Evaluate the potential effects of requirement modifications, assess associated risks, and advocate for quality throughout every stage of the development lifecycle.
- Persist in enhancing automation coverage and minimizing regression cycles.
Knowledge :-
- Proficient in crafting intricate queries on extensive customer data collections.
- Acquainted with machine learning, artificial intelligence, and generative AI methodologies, frameworks, and relevant toolsets.
- Comprehension of statistical analysis along with a solid understanding of fundamental statistical functions.
- Extensive practical experience in utilizing APIs and automating API processes.
- Exceptional communication abilities and a proven capacity to lead and collaborate with cross-functional teams.
- Background in Agile development methodologies and experience collaborating with offshore teams.
Experience :-
- A Bachelor of Science degree in Computer Science, Economics, Statistics, or Mathematics, accompanied by 3 to 5 years of experience in Data Testing is required.
- Proficiency in Predictive Analytics, understanding of machine learning trade-offs, and expertise in model evaluation are essential.
- Demonstrated experience in scripting with Python, SQL, and various tools for data analysis and manipulation is also necessary
Apply :- Click Here
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