Data Quality Engineer

📋 Description

• Develop and maintain advanced automated data quality checks for game telemetry, player events, and backend systems.
• Monitor complex data pipelines for anomalies, schema changes, and integrity issues, ensuring high availability and reliability.
• Define, document, and enforce global data quality standards, validation rules, and SLAs across the data ecosystem.
• Lead collaboration with engineering teams to ensure accurate and scalable instrumentation of in-game events.
• Investigate and resolve complex data discrepancies, performing deep root-cause analysis to prevent recurrence.
• Build and oversee dashboards and alerting systems to surface data quality issues in real time for stakeholders.

🎯 Requirements

• Bachelor’s degree in Computer Science, Data Engineering, or a related technical field (or equivalent experience).
• Extensive experience in data engineering, data quality, or analytics engineering, typically requiring 5+ years of relevant experience.
• Advanced SQL proficiency and expertise in managing and querying large, complex data.
• Hands-on experience with data pipeline and orchestration tools (e.g., Airflow, dbt, Spark).
• Deep understanding of data validation frameworks and automated testing.
• Proven experience working with high-volume, event-based data such as telemetry, logs, and user activity streams.

🎁 Benefits

• Great Company Culture. Creative, innovative, diverse, and philanthropic.
• Growth: opportunities to grow within the company.
• Work Hard, Enjoy Life: team events and socials.
• Benefits: medical and life insurance, holidays, and more.
• Perks: gym reimbursement and learning platforms.