Senior Data Migration Engineer - ETL & Data Quality

Indsafri; South Africa; On-site; ZAR 650,000 - 1,100,000; Full time

Job summary

Indsafri seeks an experienced Data Migration Engineer to design, execute, and validate data migrations for procurement systems. You will transfer, cleanse, and reconcile supplier, tender, contract, and document data from legacy to new platforms, ensuring accuracy during the system rollout.

You will develop migration strategies, execute plans, run validation scripts, and collaborate with stakeholders to define data requirements and scope.

Qualifications

• Minimum of 6 years of experience in data migration or related roles.
• Proficiency in ETL (Extract, Transform, Load) processes and tools.
• Strong SQL skills for data manipulation and analysis.
• Experience with data mapping and transformation techniques.
• Proven ability in data reconciliation and validation.
• Experience in developing and executing migration scripts.
• Solid understanding of data quality checks and best practices.

Responsibilities

• Design and implement comprehensive data migration strategies.
• Execute data migration plans, ensuring data integrity and accuracy.
• Perform data cleansing, transformation, and reconciliation activities.
• Develop and execute validation scripts to ensure data quality and completeness.
• Create detailed migration reports, including progress, issues, and outcomes.
• Collaborate with stakeholders to understand data requirements and migration scope.
• Troubleshoot and resolve data migration-related issues.

Skills

ETL processes

SQL

Data mapping

Data reconciliation

Migration scripts

Data quality checks

Tools

ETL tools

Job description

Indsafri seeks an experienced Data Migration Engineer to design, execute, and validate data migrations for procurement systems. You will transfer, cleanse, and reconcile supplier, tender, contract, and document data from legacy to new platforms, ensuring accuracy during the system rollout.

You will develop migration strategies, execute plans, run validation scripts, and collaborate with stakeholders to define data requirements and scope.