Data QA Engineer

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 pipelineCreate and execute end to end testing strategies for data pipelinesImplement monitoring, logging, and alerting for data workflowsDefine and track SLAs for data freshness, completeness, and accuracyBuild scorecards and dashboards to monitor data qualityIdentify and resolve issues related to data quality, performance, and reliabilityCollaborate with analytics, data science, and platform engineering teams on scalable solutionsContribute to code reviews, engineering standards, and support junior team members🧠 Our requirements:5+ years of experience in data engineering or backend data systemsStrong proficiency in Python or a similar programming languageStrong SQL skills, including complex joins and window functionsExperience building or implementing automation testing frameworksExperience working with Snowflake or a similar data platformExperience working with AWS S3 or other cloud object storageUnderstanding of data warehousing and data modeling, including star and snowflake schemasGood knowledge of GitHub best practicesUnderstanding of data security, access control, and governance🌟 What we offer:100% remote workLong term, stable cooperationOpportunity to work on challenging production systems at meaningful scaleReal impact on data quality, reliability, and engineering standards