What are the responsibilities and job description for the Data Quality Assurance Engineer position at Great American Insurance Group?
P&C IT Services provides professional services to help our business units and corporate functions use technology to create, manage, and optimize information and business processes. IT Services can include a wide range of activities such as: software development, data management, Cloud services, IT security, network security, technical support, establishing and overseeing access rights, procuring and maintaining equipment or software, managing the infrastructure, and defining security procedures, The overall goal of IT Services is to provide technology solutions that increase efficiency, reduce costs, and give our company a competitive advantage over our competitors.
The Quality Assurance team within P&C IT Services is seeking a Senior Data QA Engineer to work a hybrid schedule out of the Cincinnati office.
Scope of Job:
- Performs moderately complex test case/procedure development, test management functions and tasks.
- Performs moderately complex analysis of requirements, test coverage and impact of proposed requirements changes.
- Conducts peer reviews of test artifacts.
- Performs work under moderate supervision.
- May serve as an agile development team member, creating and testing the product increment.
Knowledge, Skills and Experience
Essential Job Functions and Responsibilities:
- 3 to 6 years of experience in ETL testing, BI testing.
- Planning, Monitoring and Control of Testing Activities and Tasks.
- Experience in creating/analyzing simple to complex SQL.
- Create, design, and execute the test plans and test cases which covers ETL process and Data Warehouse validation
- Knowledge on Database objects and relational data models.
- Good understanding of various database technologies (DB2, Teradata, Oracle 10g/11g, SQL server, Big data/Hadoop)
- Knowledge of any Cloud (MS Azure, IICS, Snowflake) based testing.
- Should have exposure to Oracle SQL Developer, Toad, Hive, Toad Data point etc.,
- Good exposure to Data automation validation tools like Informatica DVO, Katalon etc.
- Data automation using Python is good to have.
- Good exposure in executing Functional, Regression, Integration and E2E testing.
- Knowledge on Insurance Domain is plus
- Good exposure to agile testing process, test strategy planning and implementation, test execution monitoring and reporting.
- Play a major role in championing the importance in quality improvement across all areas of Software Development Lifecycle.
- Excellent verbal and written communication skills
- Experience and desire to work in a Global delivery environment.
