Description

Summary:

Huntington Bank is looking for a Lead QA Test Analyst in our Enterprise Data Warehouse (EDW), dedicated to ensuring quality data across the enterprise.  As a Lead QA Test Analyst, you will work to develop test strategies and test plans for Data Warehouse projects ensuring all IT SDLC processes are documented and practiced, working closely with multiple technologies teams across the enterprise.  You will also execute test cases and communicate status to project team members and key stakeholders. Key technologies include Snowflake, Python/PySpark and DataStage. 

If you consider data as a strategic asset, evangelize the value of good data and insights, have a passion for learning and continuous improvement, this role is for you. 

Key Responsibilities 

• Actively participate in the review of project requirements, data mappings and technical design specifications. 

• Create test strategies and test plans for Data Warehouse projects, mapping back to the project requirements to ensure proper test coverage. 

• Execute test cases using manual and/or automated test processes. 

• Execute database queries to support test execution in Azure DevOps. 

• Perform ETL validation according to data mapping, execute data profiling, reconciliation of data, meta data validation, initial and delta validation for different SCD types. 

• Analyze data, troubleshoot data issues, and create action plans to address data quality issues. 

• Coordinate test execution with other application teams and UAT partners. 

• Create and communicate test status with project team members and stakeholders. 

• Identify, document, and communicate testing defects. 

• Collaborate with project team on defect analysis and triage. 

• Support continuous improvement by identifying and solving opportunities to define or enhance QA process. 

• Perform functional, regression, negative and migration testing for Data Warehouse projects. 

Basic Qualifications 

• Bachelor’s degree 

• 5+ years of ETL testing experience in data warehouse environment. 

• 5+ years of experience analyzing data, troubleshooting data issues, and creating action plans to address data quality issues. 

• 5+ years of experience writing SQL queries. 

• 2+ years of experience with Snowflake and AWS Cloud 

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