Experience in applying operational and functional knowledge, including testing standards,
guidelines, and testing methodology, to meet stakeholders' expected data quality standards in
Insurance
Work with project stakeholders to understand the requirements to design and execute test
cases
Create unit and integration test strategies to ensure that data loads are correct
Create and maintain an automated test environment and perform tests
Develop test cases to analyze/compare data sources and targets in data pipelines
Test data pipeline workflows end to end: data loads, data structures, data transformations, and overall data quality.
Analyze test results and support developers and data analysts in bug fixing activities.
Strong problem-solving and debugging skills in ETL workflows and data pipelines.
Ensure that data is delivered with the expected format, structure, and data transformations
Perform data integration testing ensuring data ingestion and integration between source and
destination are accurate and efficient
Plan, execute, and stress test data recoveries (i.e., fault tolerance, rerunning failed jobs,
performing retrospective re-analysis)