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 workplace.

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

Experience working in Agile project environments.

Preferred Skills Exposure to the Property & Casualty (P&C;) Insurance domain, specifically Property and Auto Insurance.
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📌 Data Tester Big Data Qe Winnipeg
🏢 apptoza
📍 Winnipeg