Data Quality Engineer
Description For Data Quality Engineer
Coupa Software, Inc. is seeking a Data Quality Engineer to join their team in Pune, India. This role is crucial in ensuring the quality and reliability of data used in ML/AI and Generative AI products. The ideal candidate will perform thorough data analysis, collaborate with cross-functional teams, develop automation strategies, and maintain data validation frameworks.
Key responsibilities include:
- Evaluating data quality and testing machine learning models
- Developing automated tests for large data sets
- Designing and implementing data validation frameworks
- Collaborating with scrum team members to clarify requirements
- Analyzing the impact of requirement changes and assessing risks
The ideal candidate should bring:
- Experience writing complex queries on large customer data sets
- Familiarity with ML/AI and Generative AI techniques
- Understanding of statistical analysis
- Strong hands-on experience with APIs and API automation
- Excellent communication skills
- Experience in Agile development processes
Preferred qualifications:
- BS in CS, Economics, Statistics, or Mathematics
- 3-5 years of experience in Data Testing
- Knowledge of Predictive Analytics and machine learning
- Strong scripting experience with Python, SQL, and data analysis tools
Coupa values customer success, results-driven innovation, and striving for excellence. They celebrate diversity and are committed to fostering an inclusive workplace. This is a hybrid position, offering flexibility in work arrangements.
Join Coupa to be part of a dynamic team dedicated to improving spend management processes for today's businesses.
Responsibilities For Data Quality Engineer
- 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
- Collaborate with data scientists, engineers, and product managers
- Develop an automation strategy for large data sets across products
- Develop test strategies, create test plans, and execute test cases
- Design, implement, and maintain data validation frameworks and data quality monitoring systems
- Work closely with Scrum team members to clarify requirements
- Analyze the potential impact of requirement changes and assess risk
- Improve automation coverage & reduce regression cycles
Requirements For Data Quality Engineer
- 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
- BS in CS, Economics, Statistics, or Mathematics with 3-5 years of experience in Data Testing
- Knowledgeable in Predictive Analytics, machine learning trade-offs, and model evaluation
- Strong scripting experience with Python, SQL, and tools for data analysis and manipulation
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