Senior Data Quality Assurance Engineer

Cincinnati, Ohio, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

InsuranceIndustries

Requirements

The Senior Data Quality Assurance Engineer should possess 3 to 6+ years of experience in ETL and BI testing, with experience in planning, monitoring, and controlling testing activities. They require knowledge of creating and analyzing SQL queries, understanding database objects and relational data models, and familiarity with various database technologies such as DB2, Teradata, Oracle, SQL Server, and Big Data/Hadoop. Exposure to Cloud technologies like MS Azure, IICS, and Snowflake is also necessary, along with experience using tools like Oracle SQL Developer, Toad, Hive, and Toad Data Point. Data automation using Python is a plus, and experience with Functional, Regression, Integration, and E2E testing is expected. Knowledge of the insurance domain is beneficial, and experience in an agile testing environment is required.

Responsibilities

The Senior Data QA Engineer will perform moderately complex test case/procedure development, test management functions, and tasks, analyze requirements and test coverage, conduct peer reviews of test artifacts, and may serve as an agile development team member creating and testing product increments. They will create and execute test plans and test cases covering ETL processes and data warehouse validation, and play a major role in championing quality improvement across the Software Development Lifecycle. Additionally, they will contribute to executing functional, regression, integration, and E2E testing, and provide expertise in data automation validation tools like Informatica DVO and Katalon.