Description
Lead data validation efforts for large-scale data migration from Oracle and Informix (DB2) sources to GCP Cloud Storage and Cloud Spanner.
Responsibilities
- Design and execute data validation scripts to ensure data integrity during migration.
- Analyze complex data models to maintain referential integrity and quality controls.
- Validate migration accuracy across RDBMS, columnar, and semi-structured datasets.
- Manage QA test lifecycles, including defect management and testing methodologies.
Required Skills
- 4 to 7 years of experience in ETL/ELT testing.
- Proven experience with large-scale data migration projects.
- Expertise in writing complex SQL and analytical queries to validate results.
- Hands-on experience using Python to build data validation scripts.
- Working knowledge of Google Cloud data services, including BigQuery and Data Storage.
- Experience with Oracle and Informix (DB2) databases.
- Proficiency in QA Test Management and Defect Management.
Preferred Skills
- Strong analytical skills for inspecting mingled data models.