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

• Bachelor's degree in Computer Science, Information Technology, or related field (or equivalent 
• experience).
• 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
• Experience with specific industry tools or platforms (SAP ECC, SAP S4/HANA, Precisely).
• Knowledge of data governance and data quality best practices.