{"@context":"https://schema.org","@type":"JobPosting","title":"Data QA Engineer","description":"

We are looking for a 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

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