Job Opportunities API

SimplifyNext empowers organizations to thrive by simplifying complexities and unlocking next-generation technologies. Trusted by 150+ organizations, we drive measurable business impact through intelligent automation, AI-driven innovation, and next-gen applications.  With a team of more than 200 professionals, we operate from our headquarters in Singapore and offices in Thailand and Malaysia, serving clients across Asia Pacific and the Middle East. Recognized among Singapore’s 100 Fastest Growing Companies and Asia Pacific High-Growth Companies from 2023 to 2025. We partner with leading global technology providers, including Microsoft, AWS, ServiceNow, UiPath, Automation Anywhere, SS&C Blue Prism, OutSystems, Workato, ABBYY, etc. Our customers span leading global and regional organizations across industries such as Banking & Financial Services, Healthcare, Education, Manufacturing, Real Estate, Logistics, Transportation, Technology, Public Sector, and Defense. The Data Migration Engineer is responsible for planning and executing the end-to-end transformation and migration of large, complex datasets across differing source and target platforms. This role carries direct responsibility for data extraction, validation, and reconciliation within high-scrutiny, government-linked environments - safeguarding data integrity, traceability, and audit compliance throughout every phase of the migration lifecycle.   What You'll Do Migration Strategy & Governance Plan and strategize the end-to-end data transformation and migration approach for large, complex datasets across differing source and target platforms.   Establish and enforce data migration standards, governance, and documentation across project implementations.   Data Extraction, Validation & Reconciliation Lead the extraction, validation, and reconciliation of production data, working directly within high-scrutiny, government-linked environments.   Troubleshoot and resolve complex data discrepancies arising during migration and validation.   Cutover & Execution Coordinate mock runs, trial loads, and final cutover execution, ensuring data integrity is maintained throughout.   Compliance, Traceability & Performance Ensure strict data traceability and compliance with audit requirements throughout the migration lifecycle.   Monitor and optimize database performance and availability during and after migration, ensuring service levels are met and implementing improvements when needed.   Stakeholder & Technical Engagement Engage stakeholders and application teams, explaining technical decisions and reviewing data models to ensure migration approach aligns with system design.   Who You Are Must-Have   Proven track record of delivering data migration projects in a public sector or other high-scrutiny, government-linked context.   Strong hands-on proficiency with Python and ETL tooling.   Hands-on experience with native cloud migration services such as AWS Database Migration Service (DMS) and Azure Migration Services.   Demonstrated ability to lead mock runs, trial loads, and cutover execution while maintaining strict data integrity.   Strong troubleshooting skills for resolving complex data discrepancies during migration and validation.   Must be a Singapore Citizen or Permanent Resident, as this role requires direct access to sensitive production data.     Good-to-Have   Experience working with database performance tuning and monitoring tools.   Familiarity with data governance, audit, and compliance frameworks in regulated or public sector environments.   Relevant cloud or data certifications (e.g. AWS Certified D