Quality Engineer

• Validate data from source to target by performing thorough checks and assessing consistency across datasets.
• Develop and execute automated tests to confirm data accuracy and detect anomalies, ensuring that data quality standards are met.
• Analyze and document data quality issues and trends, providing recommendations for remediation and improvement.
• Collaborate with data analysts and engineers to define data mappings, transformations, and rules for data quality verification.
• Review data processing workflows and implement quality controls to ensure only high-quality data is utilized in business operations.

Desired Qualifications

• Expert-level proficiency in Structured Query Language (SQL) for data validation and analysis.
• Prior experience working in Data Warehousing or ETL Teams.
• Strong knowledge of Python and experience in using test automation tools for data quality assessments.
• Familiarity with various relational database management systems but not limited to SQL Server.
• Experience testing with flat files, CSV, and semi-structured data formats like JSON and XML.
• Solid understanding of data testing principles and best practices for data quality management.

Bonus Skills

• Experience in the Property and Casualty Insurance domain or similar industries.
• Familiarity with data profiling techniques and tools to assess data quality metrics.
• Exposure to cloud platforms such as Microsoft Azure or AWS.
• Experience with version control systems like Git and integrated development environments.
• Understanding of Agile development principles and methodologies, such as SAFe Agile.
• This position is essential for maintaining the integrity and reliability of our data assets, ensuring that our strategic decision-making is based on accurate and trustworthy information.