Data QA Engineer
Summary
Designs and runs end-to-end tests for data pipelines and Snowflake data warehouses, validates ETL flows, and reconciles data across systems using SQL and dimensional modeling.
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.
- 4+ years of dedicated experience in ETL testing, data pipeline validation, and Data Warehouse QA.
- Strong hands-on experience querying, testing, and navigating a Snowflake data warehouse environment.
- Exceptional SQL skills, including expertise in complex joins, window functions, CTEs, subqueries, and set operations to compare large datasets efficiently.
- Proven experience designing data reconciliation workflows, source-to-target validation scripts, and data auditing routines.
- Clear understanding of data architecture, dimensional modeling (Star Schema, Snowflake Schema), and data file formats (JSON, Parquet, CSV, XML).
- Excellent problem-solving skills with high attention to detail when analyzing large, complex datasets.
- Communicative English