Data Migration Engineer
Prime Hiring Solutions · Austin, TX · 1 mo ago
On-siteInformation TechnologyFull-time
Job Summary
We are seeking an experienced Data Migration Engineer to support large-scale data transformation, conversion, and migration initiatives. The ideal candidate will have strong SQL and database development experience, along with hands-on expertise in data mapping, ETL, migration execution, validation, and reconciliation.
Key Responsibilities
- Define data mapping, transformation, and migration requirements.
- Develop end-to-end migration plans for full-load and incremental migrations.
- Create and maintain SQL/T-SQL/PL-SQL migration, validation, and reconciliation scripts.
- Analyze source and target data to identify conflicts, inconsistencies, and data-quality issues.
- Execute data migrations across staging and production environments.
- Perform source-to-target validation and data reconciliation.
- Troubleshoot data inconsistencies and migration failures.
- Monitor migration performance and optimize migration processes.
- Prepare migration execution reports, validation results, and technical documentation.
- Collaborate with project, integration, validation, and business teams to ensure successful migration outcomes.
Required Qualifications
- 5+ years of experience in data migration, data conversion, ETL, or related database development.
- Strong proficiency in SQL, T-SQL, PL/SQL, or equivalent database technologies.
- Hands-on experience with source-to-target data mapping and transformation.
- Experience developing migration, validation, and reconciliation scripts.
- Strong understanding of data quality, data validation, and conflict resolution.
- Experience executing migrations in staging and production environments.
- Strong analytical, troubleshooting, and problem-solving skills.
- Excellent documentation and communication skills.
Preferred Qualifications
- Experience with ETL and large-scale data migration projects.
- Knowledge of Change Data Capture (CDC) and incremental migration strategies.
- Experience with AWS or other cloud environments.
- Understanding of data integration and system migration best practices.
- Experience with migration performance tuning and optimization.
- Familiarity with data governance and data quality frameworks.