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ETL Lead Tester

BDM, Saibber LLC

This is a Contract position in Toronto, ON posted June 27, 2020.

Kindly share your resume at ziasaibber108.com Job Title ETL Lead Tester Duration 12 Months Location Toronto, ON Job Description Should have experience on ETL Data Driven testing Create and execute test cases for Data Warehousing projects Testing of end-to-end data lifecycle source data ingestion, batch data, data transformation Creating Automation Test scripts and test data preparation by analyzing the test documents Data warehousing experience Hadoop and Netezza experience Write test data scripts, based on ETL mapping artifacts Execute data scripts and detailed analysis on the scripts Create strategies and test cases for applications that use ETL components Data mining and detailed data analysis on data warehousing systems Execute formal test plans to ensure the delivery of data related projects Provide input and support big data testing initiative Prepared Master Test Plan (MTP), Test Coverage Matrix (TCM), Test Approach, Sign Off Documents Preparing and Organizing Test strategy, Test plan, Test Scripts and Test results summary walkthroughreview meetings to ensure timely completion a nd delivery of the project to client.

Preparing, designing and leading the test strategy and test plan for all projects carrying out review activities such as requirements review, design review, test strategy review and test case review Supporting Business users during User Acceptance Testing.

Interacting with team members to ensure smooth progress of project work ensuring adherence to quality norms throughout the implementation process Facilitating defect triage by performing root cause analysis for defects and project status discussions with Business Owners and other Stakeholders Developing and sending dashboards daily status reports to clients Sound knowledge and experienced in Waterfall Agile Testing Processes Methodologies Eclipse IDE, JIRA, GIT, Confluence, HP ALM, Clarity PPM, QTest, Test NG, Jenkins, Maven.

Test Data Setup by preparing Test Data Tear up and Tear down scripts for the test users