Hybrid QA Engineer, DataOps

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About the role

  • DataOps Engineer focusing on Data Quality at TradingView. Involves data monitoring, incident investigation, and collaboration with developers.

Responsibilities

  • 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

Job title

QA Engineer, DataOps

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

No Education Requirement

Tech skills

Location requirements

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