QA Engineer, DataOps
TradingView
full-time
Posted on:
Location Type: Hybrid
Location: Tbilisi • Georgia
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About the role
- Data Monitoring: Identify and analyze defects within numerical data streams.
- Incident Investigation (RCA): Conduct root cause analysis to understand why data discrepancies occur.
- Data Remediation: Fix incorrect records and implement measures to prevent their recurrence.
- Collaboration: Work closely with developers and analysts to optimize data processing pipelines.
- Documentation: Document identified defects and the logic behind their resolution within the task lifecycle.
Requirements
- 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.
Benefits
- Flexible working hours and a hybrid work format
- Well-equipped offices for focused and collaborative work
- A global, distributed team of 500+ professionals
- Learning, mentorship, and long-term career growth
- Relocation support and private health insurance
- Performance-based bonuses
- TradingView Premium access
- Regular team events and company-wide meetups
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data monitoringroot cause analysisdata remediationPythonRegexGitGitHubSDLC
Soft Skills
collaborationdocumentation