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Popular SDET role with broad skill requirements and unspecified experience increases applicant competition.
ETL, Snowflake and automation skills transfer across data teams but favor data-platform experience.
Multiple mandatory technical skills (SQL, Snowflake, Python, automation frameworks) increase screening rigor.
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Design and execute test cases, test plans, and test strategies for ETL data automation.
Validate backend data using SQL and Snowflake, including understanding and testing stored procedures and ETL/data flows.
Develop, modify, and maintain automation scripts primarily using Python to improve test automation coverage.
Strong manual testing skills including functional and integration testing.
Proficiency in SQL is mandatory; experience with Snowflake or similar data platforms required.
Knowledge of ETL/data concepts and ability to understand stored procedures.
Python scripting skills and experience with automation frameworks. Work Experience Required: Not explicitly mentioned in the JD.
Experienced in ETL data validation and backend testing in data automation contexts.
Capable of designing comprehensive test strategies and handling defect resolution collaboratively with development teams.
Skilled in enhancing and maintaining automated test suites using Python within a data-heavy environment.