Negotiable
Outside
Remote
USA
Summary: The Database QA Engineer is tasked with ensuring data integrity, consistency, and performance across enterprise database systems. This role involves designing SQL-based test cases, validating data, and verifying ETL transformations while collaborating with data engineers to resolve issues. Proficiency in complex queries and database behavior assessment is essential, along with familiarity in data profiling and cloud-based platforms.
Key Responsibilities:
- Design and execute SQL-based test cases.
- Perform data validation between source and target systems.
- Verify ETL transformations.
- Analyze execution plans and identify anomalies in relational databases.
- Develop detailed test plans and document defects and results.
- Collaborate with data engineers to resolve bugs.
- Assess database behavior under various load conditions.
- Familiarity with data profiling and test data generation.
- Validate business rules within large-scale data environments.
- Experience with version control systems and workflow orchestration tools.
Key Skills:
- Proficiency in writing complex SQL queries.
- Experience with Oracle and relational databases.
- Knowledge of stored procedures, triggers, and indexing strategies.
- Familiarity with data profiling and validation techniques.
- Experience with cloud-based data platforms.
- Understanding of version control systems and workflow orchestration tools.
Salary (Rate): undetermined
City: undetermined
Country: USA
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
Database QA Engineer is responsible for validating data integrity, consistency, and performance across enterprise database systems. Core responsibilities include designing and executing SQL-based test cases, performing data validation between source and target systems, and verifying ETL transformations. The role requires proficiency in writing complex queries, analyzing execution plans, and identifying anomalies in relational databases such as Oracle. Will develop detailed test plans, document defects and results and work with data engineers to resolve bugs. Experience with stored procedures, triggers, and indexing strategies is essential for assessing database behavior under various load conditions.
Familiarity with data profiling, test data generation, and validation of business rules within large-scale data environments is required. Experience with version control systems, workflow orchestration tools, and cloud-based data platforms is preferred