Job Description

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.

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