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 setting. 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 workplace.
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 Robust 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.
📌 Data Tester Big Data Qe Waterloo
🏢 apptoza
📍 Waterloo
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