This is a remote position.
We are seeking a detail-oriented and analytical Data QA Engineer to join our data engineering team. In this role, you will play a vital part in ensuring the accuracy, consistency, and reliability of our enterprise data platform. You will design, develop, and execute end-to-end test strategies for data pipelines, perform comprehensive data warehouse testing in Snowflake, and drive data reconciliation processes across disparate systems.
Requirements
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4+ years of dedicated experience in ETL testing, data pipeline validation, and Data Warehouse QA.
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Strong hands-on experience querying, testing, and navigating a Snowflake data warehouse environment.
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Exceptional SQL skills, including expertise in complex joins, window functions, CTEs, subqueries, and set operations to compare large datasets efficiently.
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Proven experience designing data reconciliation workflows, source-to-target validation scripts, and data auditing routines.
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Clear understanding of data architecture, dimensional modeling (Star Schema, Snowflake Schema), and data file formats (JSON, Parquet, CSV, XML).
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Excellent problem-solving skills with high attention to detail when analyzing large, complex datasets.
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Communicative English