- 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.
- Robust 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.

📌 Quality Engineer (Bengaluru)
🏢 Chubb Business Services India Private
📍 Bengaluru