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Big Data Test Engineering Lead Addison, TX - Onsite 2 days a week 06+ months Phone and Skype. Job Description:- Support the Big Data Platform initiatives across multiple work streams. aria-hidden="true" - Collaborate with Team members to understand the Business use case and build a data strategy for the initiative aria-hidden="true" - Collaborate with Data Engineers on non-functional requirements and validation aria-hidden="true" - Collaborate with and lead other QA members working on the same project aria-hidden="true" - Communicate validation results through regular test execution reports and keep stakeholders informed aria-hidden="true" - Perform validations and analysis of the source schema and metadata aria-hidden="true" - Gather data from primary or secondary data sources to identify and interpret results aria-hidden="true" - Document processes and maintain data records for test execution and test strategy aria-hidden="true" - Assist Business partners with E2E validation in the UAT phase of the project aria-hidden="true" - Ensure data is validated in the destination and all checks are completed against the source aria-hidden="true" - Perform parallel production validations on vast datasets to ensure quality aria-hidden="true" - Test large datasets to determine data quality and integrity aria-hidden="true" - Evaluate system performance and design and its effect on data quality aria-hidden="true" aria-hidden="true" Basic Qualifications: aria-hidden="true" aria-hidden="true" - 8+ years of QA Testing-Automation Tools-Client Quality Center Mercury aria-hidden="true" - Complex business logic and source-to-target mapping artifacts. aria-hidden="true" - Disparate data sources and file formats. aria-hidden="true" - Build validation queries and automation for test use cases. aria-hidden="true" - Create and run data queries to identify coding issues and data exceptions aria-hidden="true" - SQL, Python/PySpark, Alteryx, Excel, Jira, Confluence, and Zephyr Regards, Mayank