Source description
About the role
Day to Day:
Own an automated testing workstream from requirements intake through release validation
Design, build, and maintain Python‑based automation frameworks
Validate large‑scale datasets using DataFrames, NumPy, and SQL
Perform pre‑code vs. post‑code data comparisons
Build data stability and accuracy test suites
Analyze complex data flows across dozens of integrated systems (many not internally owned)
Identify data issues, gaps, and anomalies within large datasets
Partner closely with integrated engineering and QA team members
Support production releases, including:
Regression testing
Pre‑release and post‑release validation
Enhancing test infrastructure
Production Support / On‑Call:
3‑week release cycle
Every third release includes early‑morning validation Monday's - (7:00–9:00 AM)
Pre‑release validation the week prior
Tuesday evening releases (9:00–11:30 PM)
Team owns diagnosis and resolution of production release issues
Technical Skills:
Python
SQL
DataFrames
NumPy
PyCharm
My SQL
Migrating to Star Rocks
StarRocks experience is a plus but not required.
Strong database fundamentals and baseline data‑science knowledge for testing are expected.
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