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QA Engineer, DataOps at TradingView | JobVerse
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QA Engineer, DataOps
TradingView
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QA Engineer, DataOps
Tbilisi, Tbilisi, Georgia
Full Time
2 hours ago
No H1B
Apply Now
Key skills
Python
SDLC
Bash
Git
GitHub
Version Control
Collaboration
About this role
Role Overview
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.
Tech Stack
Python
SDLC
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
Apply Now
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