We are looking for a Senior Data QA Engineer who will be responsible for testing data pipelines and ensuring their quality, reliability, and accuracy. 

✅ 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