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Job Summary Strong experience in SQL and ETL testing with the ability to validate complex data transformations and workflows. Good understanding of data ingestion, data migration, and data archival processes across enterprise data platforms. Strong client communication skills with the ability to collaborate effectively with business and technical stakeholders. Experience in preparing and maintaining QA documentation including Test Strategy Test Plans Test Scenarios Test Cases Test Data and Test Summary Reports. Ability to track testing progress, manage defects, identify risks proactively and communicate status to stakeholders in a timely manner. Hands-on experience with Databricks or similar data engineering and processing platforms for data validation and testing. Familiarity with the Software Testing Life Cycle STLC and defect management tools such as Jira or Azure DevOps. Ability to work independently while collaborating effectively within cross-functional Agile teams. Responsibilities Strong experience in SQL and ETL testing with the ability to validate complex data transformations and workflows. Good understanding of data ingestion data migration and data archival processes across enterprise data platforms. Strong client communication skills with the ability to collaborate effectively with business and technical stakeholders. Experience in preparing and maintaining QA documentation including Test Strategy Test Plans Test Scenarios Test Cases Test Data and Test Summary Reports. Ability to track testing progress, manage defects identify risks proactively and communicate status to stakeholders in a timely manner. Hands-on experience with Databricks or similar data engineering and processing platforms for data validation and testing. Familiarity with the Software Testing Life Cycle STLC and defect management tools such as Jira or Azure DevOps. Ability to work independently while collaborating effectively within cross-functional Agile teams.
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