QA (DataOps) Engineer
8.0/10
TradingView
$11,000 – $17,000 USD
Remote
mid
about 4 hours ago
analyticstechData QualityData MonitoringIncident InvestigationData RemediationCollaborationDocumentationCLI ProficiencySDLC KnowledgeVersion ControlGit
AI Summary
The vacancy is well-structured with clear responsibilities and compensation, but lacks some details on company links and payment terms.
Check Match — Just drop your CV
See your fit for QA (DataOps) Engineer in seconds.
Description
What you'll do
- •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.
Conditions
- •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.
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.
**Will be a plus**
- •Domain Expertise: Experience with exchange/market data, and an understanding of trading mechanics or personal investing.
- •Automation Skills: Basic Python skills for writing simple processing scripts or proficiency with Regex for searching through large data arrays.
Loading similar jobs...