Test Lead

About the job

Role requirements:

• Collaborate with data engineers to understand ETL/ELT processes using ADF and Databricks.
• Develop test plans and test cases for data pipelines, including transformation logic validation and end-to-end data flow.
• Validate data accuracy, completeness, and consistency across systems (e.g., landing, staging, transformation, and reporting layers).
• Implement automated data quality and validation tests.
• Perform regression, integration, and performance testing on data workflows.
• Participate in code reviews, defect triaging, and sprint planning sessions.
• Monitor data pipeline executions and investigate test failures or anomalies.
• Document test results, defects, and quality metrics.

Preferred qualifications:

• Experience with PySpark or notebooks in Databricks.
• Exposure to Azure DevOps, Unit Testing frameworks, or Great Expectations for data testing.
• Knowledge of data warehousing or medallion architecture (bronze, silver, gold layers).
• Experience with data visualization tools (e.g., Power BI) is a plus.

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