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Mid-level QA title, 3-6 years amplifier and metro location create high applicant competition density.
Data/ETL testing skills transfer across industries, though domain-specific DW experience adds moderate bias.
Explicit 5+ years plus mandatory ETL/DW/SQL testing skills make shortlisting criteria strict.
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Develop and execute comprehensive test plans for data validation in on-premises and cloud data warehouses.
Conduct detailed testing of ETL processes, dimensional data models, and reporting outputs to ensure data quality and completeness.
Identify, document, and track data quality issues and collaborate with data engineers to resolve them.
2 to 5 years of experience in data warehouse development/testing, including ETL testing.
Strong proficiency in SQL, RDBMS, ETL processes, and Data Warehouse concepts.
Experience validating reports/dashboards using tools like Tableau or MS Power BI.
Work Experience Required: 2 to 5 years as explicitly mentioned in the JD.
Experienced in EDW source-to-target testing with strong manual and automation SQL scripting skills.
Familiar with hybrid data architecture validation between on-premises and cloud environments.
Knowledgeable in insurance data processes and cloud data ecosystems like Snowflake is a plus.