Data QA Engineer

Technologies we use

About the project

Your responsibilities

• Design and maintain data tests and quality checks across the full pipeline
• Create and execute end to end testing strategies for data pipelines
• Implement monitoring, logging, and alerting for data workflows
• Define and track SLAs for data freshness, completeness, and accuracy
• Build scorecards and dashboards to monitor data quality
• Identify and resolve issues related to data quality, performance, and reliability
• Collaborate with analytics, data science, and platform engineering teams on scalable solutions
• Contribute to code reviews, engineering standards, and support junior team members

Our requirements

• 5+ years of experience in data engineering or backend data systems
• Strong proficiency in Python or a similar programming language
• Strong SQL skills, including complex joins and window functions
• Experience building or implementing automation testing frameworks
• Experience working with Snowflake or a similar data platform
• Experience working with AWS S3 or other cloud object storage
• Understanding of data warehousing and data modeling, including star and snowflake schemas
• Good knowledge of GitHub best practices
• Understanding of data security, access control, and governance

What we offer

• 100% remote work
• Long term, stable cooperation
• Opportunity to work on challenging production systems at meaningful scale
• Real impact on data quality, reliability, and engineering standards

Benefits