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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Mastek Recruiting Team