Data Assessment and Planning:

◦ Evaluate existing data sources, structures, and formats to understand migration requirements.

◦ Collaborate with Data Owners to define migration objectives, scope, and timelines.

◦ Develop and execute data migration strategies that align with organizational goals.

Data Extraction and Transformation:

◦ Extract data from legacy systems, identify discrepancies, and prepare data for migration.

◦ Use data transformation tools to clean, format, and standardize data according to the target system’s specifications.

◦ Perform data mapping to ensure consistency and compatibility with the new environment.

◦ Creation of query and load scripts/tool (data migration ETL Tool).

Data Loading and Integration:

◦ Load data into the target system while ensuring minimal disruption to ongoing operations.

◦ Troubleshoot and resolve issues related to data integration and loading processes.

Quality Assurance and Validation:

◦ Perform rigorous testing of migrated data to ensure accuracy, completeness, and integrity.

◦ Conduct post-migration validation and reconciliations, identifying and addressing any discrepancies.

◦ Provide ongoing support for data issues that arise post-migration.

Documentation and Reporting:

◦ Document migration processes and issues for future reference and auditing purposes.

◦ Provide regular updates to project team on progress, issues, and risks.

Collaboration and Communication:

◦ Work closely with IT teams, data analysts, and business data owners to understand requirements and provide solutions.

◦ Ensure clear communication of technical and non-technical aspects of data migration activities.

• Bachelor's degree in Computer Science, Information Technology, or related field (or equivalent experience).
• Deep knowledge on Material Management (Master Data and Transaction Data). Knowledge on SAP Real Estate module is a plus
• Proven experience in data migration, data management, or data integration projects.
• Fast learner with ETL tools (ex. Precisely, BODS, LSMW) and scripting languages.
• Solid knowledge of data mapping, data transformation, and data validation processes.
• Excellent problem-solving, analytical, and troubleshooting skills.
• Strong attention to detail with the ability to identify and correct errors.
• Effective communication skills and ability to work collaboratively in cross-functional teams.