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 settings.
Understanding of Agile development principles and methodologies, such as Secure 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