Identify and analyze defects within numerical data streams
Conduct root cause analysis to understand why data discrepancies occur
Fix incorrect records and implement measures to prevent their recurrence
Work closely with developers and analysts to optimize data processing pipelines
Document identified defects and the logic behind their resolution within the task lifecycle

CLI Proficiency: Confidence working in the terminal (Bash/CLI)
English: Reading proficiency at a level sufficient for understanding technical documentation
SDLC Knowledge: A solid understanding of the Software Development Life Cycle
Version Control: Hands-on experience with Git/GitHub
Domain Expertise: Experience with exchange/market data and an understanding of trading mechanics or personal investing is a plus
Automation Skills: Basic Python skills for writing simple processing scripts or proficiency with Regex for searching through large data arrays

QA DataOps Engineer

Key skills