Data Tester (Big Data QE)

Role: Data Tester (Big Data QE) Location: Waterloo, ON - Hybrid Contract Role Role Description We are seeking a motivated Big Data QE / Data Tester with experience in data testing and a passion for the Property & Casualty (P&C) Insurance domain. The ideal candidate will be responsible for supporting data testing initiatives, validating data quality, and ensuring solutions meet design specifications, standards, and business requirements within an Agile environment. Key Responsibilities Develop and execute test strategies aligned with design specifications, standards, and user requirements. Perform ETL and database testing, data migration testing, and report validation. Write and execute complex SQL queries for data analysis and validation. Execute and validate queries in GCP BigQuery. Design and execute test cases in a Big Data environment. Analyze data and validate data quality across various data sources. Collaborate with Agile teams to test components iteratively throughout the development lifecycle. Required Skills 6–8 years of experience in ETL Testing, SQL, Big Data, and Python. Hands-on experience with: - ETL and Database Testing - Data Migration Testing - Report Validation Strong knowledge of GCP BigQuery. Experience with PySpark and/or Python. Expert-level SQL skills, including writing and understanding complex queries. Advanced knowledge of Big Data technologies, including: - Hadoop - Hive - Impala - HBase - Pentaho Experience working in Agile project environments. Preferred Skills Exposure to the Property & Casualty (P&C) Insurance domain, specifically Property and Auto Insurance. Knowledge of Guidewire.

The candidate will support data testing initiatives, validate data quality, and ensure solutions meet design specifications and business requirements. They will perform ETL, database, and migration testing while collaborating with Agile teams throughout the development lifecycle.

The role requires 6–8 years of experience in ETL testing, SQL, Big Data, and Python, with hands-on expertise in GCP BigQuery. Preferred qualifications include experience in the Property & Casualty Insurance domain and knowledge of Guidewire.

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• ETL Testing
• SQL
• Big Data
• Python
• GCP BigQuery
• PySpark
• Hadoop
• Hive
• Impala
• HBase
• Pentaho
• Agile
• Data Migration
• Report Validation
• Property & Casualty Insurance
• Guidewire

Expérience minimale

5+ ans

Postuler avant le

26 août 2026