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Tier-1 employer, generic QA title, and Bangalore metro location raise competition.
Data migration and SQL QA skills transfer across industries but require platform-specific knowledge.
Specific Snowflake/Databricks and data-migration QA skills required, but no explicit years, so moderate strictness.
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Manage quality assurance and data validation for migrated Snowflake workloads on Databricks, including preparing and executing test cases for data pipelines and integration flows.
Validate source-to-target parity with SQL-based data reconciliation testing and defect management during SIT, QA, PROD readiness, and hypercare phases.
Document test evidence, track defects, coordinate with Data Engineers to reproduce and retest defects, and provide quality status reporting and sign-off documentation for releases.
Experience in data migration testing with SQL validation, ETL/ELT testing, defect management, and quality reporting.
Familiarity with Snowflake and Databricks environments, source-to-target data comparison, row count, aggregate checks, and schema validation.
Ability to prepare and execute test cases for data transformations and integration flows.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in data migration and reconciliation testing in cloud-based data warehouse environments like Snowflake and Databricks.
Detail-oriented with strong defect tracking and test documentation skills relevant to complex data validation scenarios.
Comfortable collaborating with Data Engineers during defect triage and resolution in agile sprint cycles.