Data Quality Engineer (Data QE)

Role Description & Responsibilities

• Act as a Big Data Quality Engineer supporting multiple data testing initiatives
• Design, develop, and execute test cases for Big Data and ETL pipelines
• Perform ETL testing, database testing, data migration validation, and report validation
• Write and execute BigQuery SQL queries and analyze results for data accuracy and completeness
• Assist in building and implementing high-quality test strategies aligned with design specifications, standards, and user requirements
• Collaborate closely with cross-functional teams in an Agile development environment
• Validate data across systems to ensure integrity, consistency, and compliance with requirements

Experience Requirements

• 8–10 years of overall IT experience
• 3–4 years of experience specifically in Data Testing / Data Quality Engineering

Technical Skills

• Strong experience with ETL and Database Testing
• Hands-on experience in Data Migration and Report Validation
• Expertise in GCP BigQuery, including writing and executing complex SQL queries
• Proficiency in Python and PySpark
• Experience testing Big Data environments
• Strong understanding and ability to write complex SQL queries

Essential Skills

• Strong background in Big Data QA/QE
• Passion for Property & Casualty (PC) Insurance domain
• Ability to work effectively in an Agile testing model
• Analytical mindset with strong attention to detail
• Excellent understanding of data quality principles and validation techniques