Quality Assurance Analyst chez Florida Government Agency
Florida Government Agency · Tallahassee, États-Unis d'Amérique · Onsite
- Professional
- Bureau à Tallahassee
- Industry certifications related to software testing, such as International Software Testing Qualifications Board (ISTQB), Certified Software Tester (CSTE), Certified Associate in Software Testing (CAST), and Certified Software Quality Analyst (CSQA).
- A minimum of five (5) years of experience in systems development, testing, and/or business experience.
- Strong SQL skills (
- Strong understanding of Data Warehouse concepts, testing methodologies and different types of testing (business process, functional, integration, regression, performance, security, etc.);
- Ability to define test plans, test cases, test execution, defect management, and reporting in an enterprise application development environment;
- Basic Unix/Linux skills for job monitoring and log analysis;
- Hands-on experience with ETL tools, BI/Reporting tools, and test management tools;
- Experience with databases such as Oracle and SQL Server;
- Analyze business requirements, ETL mapping documents, and data models;
- Write and execute Structured Query Language (SQL) queries to validate data;
- Test ETL jobs: extraction, transformation, and loading into target tables;
- Validate fact and dimension tables (keys, measures, attributes);
- Perform data reconciliation between source and target systems;
- Check data quality (nulls, duplicates, invalid values, referential integrity);
- Verify aggregations, derived columns, and business logic;
- Test BI reports/dashboards against data warehouse tables;
- Work with developers, analysts, and DBAs to resolve defects;
- Automate regression and sanity testing where possible;
- Collaborate with the QA Lead/Manager to develop test strategies and test plans for Data Warehouse (DWH)/ETL Projects;
- Review ETL mappings, data models, and business rules with architects and analysts;
- Perform source-to-target mapping validation and data transformation testing;
- Conduct data reconciliation between multiple layers: source systems, staging, Operational Data Store (ODS), and data warehouse;
- Validate fact/dimension integrity, business rule implementation, and Key Performance Indicator (KPIs) in reports;
- Perform performance and scalability testing of ETL jobs and SQL queries;
- Implement automation frameworks for regression testing and data validation;
- Collaborate with developers, Database Administrators (DBAs), and business users to resolve data-related issues;
- Mentor team members and ensure adherence to QA best practices; and