Data Quality Engineer

We are seeking a Data Quality Engineer to support a Regulatory Reporting Program, focused on building and validating data pipelines developed using PySpark , Scala , and Airflow .

Key Responsibilities

• Design and execute test strategies for data pipelines and ETL workflows.
• Validate data transformations, quality, and lineage across multiple source systems.
• Develop automated test scripts and manage testing cycles in Zephyr.
• Collaborate with data engineers, business analysts, and compliance teams to ensure delivery quality and regulatory accuracy.

Key Skills

• Strong experience in testing data engineering solutions.
• Hands-on experience with Zephyr or similar test management tools.
• Experience in test Automation
• Solid understanding of data validation, reporting accuracy, and regulatory data controls.