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7 days ago
Requirements and responsibilities
As a Data Quality Engineer, you will ensure the accuracy, integrity, and reliability of data across our AI and search systems. You will play a vital role bining automated validation with manual QA processes to prevent flawed information from impacting business decisions and AI outputs.What You'll DoDesign and implement automated data quality checks and validation rules using SQL and APIs.Monitor data pipelines for inconsistencies, anomalies, and missing information in Azure AI Search and OpenAI environments.Develop and maintapleteness, and formatting across the data lifecycle.Collaborate with data engineers and AI specialists to identify root causes of data issues and implement corrective actions.Establish and enforce data quality standards and governance policies to ensure referential integrity.Create detailed documentation for audit processes and quality improvements to track recurring data gaps.What We Are Looking For4+ years of experience a QA, or a similar role.Proven expertise in ensuring data accuracy and integrity through robust validation and testing.Proficiency in writing complex SQL queries for data analysis and verification.Hands-on experience with APIs and AI technologies such as Azure AI Search or OpenAI.Strong background in combining automated and manual QA processes for data systems.Advanced proficiency in English.How we do make your work (and your life) easier:100% remote work (from anywhere).Excellent compensation in USD or your local currency if preferredHardware and software setup for you to work from home.Flexible hours: create your own schedule.Paid parental leaves, vacations, and national holidays.Innovative and multicultural work environment: collaborate and learn from the global Top 1% of talent.Supportive environment with mentorship, promotions, skill development, and diverse growth opportunities.Join a global team where your unique talents can truly thrive and make a significant impact!