Azure Data Quality Engineer: PySpark & ETL Testing

Confiz is undergoing a major data transformation to ensure accurate, consistent data is available when needed. We are seeking a data engineer QA to validate pipelines and dashboards on Azure Data Lake, Synapse, and Databricks.

You will design tests, automate data quality checks, and collaborate with cross-functional teams to maintain data accuracy and performance. The role requires 3–6 years in data engineering, strong SQL and PySpark skills, and hands-on Azure experience.