Data Migration Augment
Ant Colony Resources
• 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).
- 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.
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