QA (DataOps) Engineer (Fintech)

TL;DR

QA (DataOps) Engineer (Fintech): Monitoring and analyzing numerical data streams to ensure data quality within a financial analysis platform with an accent on root cause analysis of data discrepancies and remediation. Focus on identifying anomalies in data streams, resolving product data defects, and optimizing data processing pipelines.

Location: Hybrid

Company

The world’s largest financial analysis platform with more than 100M users across 180+ countries.

What you will do

• Identify and analyze defects within numerical data streams.
• Conduct root cause analysis (RCA) to understand and resolve data discrepancies.
• Fix incorrect records and implement measures to prevent recurrence.
• Collaborate with developers and analysts to optimize data processing pipelines.
• Document identified defects and the resolution logic within the task lifecycle.

Requirements

• Confidence working in the terminal (Bash/CLI).
• English reading proficiency sufficient for technical documentation.
• Solid understanding of the Software Development Life Cycle (SDLC).
• Hands-on experience with Git and GitHub.

Nice to have

• Experience with exchange/market data and understanding of trading mechanics.
• Basic Python skills for writing simple processing scripts.
• Proficiency with Regex for searching through large data arrays.

Culture & Benefits

• Flexible working hours and hybrid work format.
• Well-equipped offices for focused and collaborative work.
• Global, distributed team of 500+ professionals.
• Learning, mentorship, and long-term career growth.
• Relocation support and private health insurance.
• Performance-based bonuses and hirify.global Premium access.