Must have 3+ hands-on experience in test automation development using Python.
Must have in-depth SQL knowledge to understand and work iteratively with complex data sets and models. Data will be tested for accuracy, completeness, and performance.
Must have Basic knowledge of Big Data and AI Ecosystem.
Must have API testing experience using any framework available in the market using Python.
Continuous testing experience and expertise required.
Proven success in position of similar responsibilities in a QA environment.
Thorough understanding of quality assurance methodologies, automation strategies such as BDD, In-sprint automation etc.
Must be strong in writing efficient code in Python using data frames.
Experience working with GIT and Docker commands
Proficient in using Excel for data formatting and aggregations
Preferred:
Experience in testing in AI/ML ecosystem. Specially data validation and model performance testing.
Experience in Hive, Databricks, Unix/Linux Shell scripting.
Azure Data Lake experience.
Experience with traditional data marts/warehouses.
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