Senior Data Quality Assurance Engineer

About the Role

Key Responsibilities

• 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.

Requirements

• 3 to 6+ years of experience in ETL testing and BI testing.
• Experience in creating and analyzing simple to complex SQL queries.
• Ability to create, design, and execute test plans and test cases covering ETL processes and Data Warehouse validation.
• Knowledge of database objects and relational data models.
• Good understanding of various database technologies such as DB2, Teradata, Oracle 10g/11g, SQL Server, Big Data/Hadoop.
• Knowledge of cloud-based testing environments like MS Azure, IICS, Snowflake.
• Exposure to Oracle SQL Developer, Toad, Hive, Toad Data Point, etc.
• Experience with data automation validation tools like Informatica DVO, Katalon, etc.
• Data automation using Python is a plus.
• Experience in executing Functional, Regression, Integration, and E2E testing.
• Good understanding of the agile testing process, test strategy planning, and implementation.
• Excellent verbal and written communication skills.
• Experience and desire to work in a global delivery environment.

Nice to Have

• Knowledge of the Insurance Domain.

Qualifications

• Relevant experience in data testing and quality assurance roles.

Benefits & Perks

• Competitive Total Rewards package including medical, dental, and vision plans starting on day one.
• Paid time off, holidays, commuter benefits, employee stock purchase plan, education reimbursement, paid parental leave/adoption assistance, and a 401(k) plan with company match.