Manager | Data Migration Specialist | Delhi | Operations, Industry & Domain Solutions | DigiGov

Job description

Job requisition ID :: 107159 Date: Jul 7, 2026 Location: Delhi Designation: Manager Entity: Deloitte Touche Tohmatsu India LLP **Key Responsibilities** **Data Migration Planning & Execution** - Analyze source and target systems to define migration strategies, approaches, and execution plans. - Perform data discovery, profiling, and assessment activities to identify migration challenges and dependencies. - Design and execute end-to-end data migration processes including extraction, transformation, cleansing, loading, and validation. - Develop migration runbooks, cutover plans, rollback procedures, and migration schedules. - Support multiple migration cycles including mock migrations, testing, and production cutovers. - Ensure minimal business disruption during migration activities. **Data Mapping & Transformation** - Collaborate with business and technical teams to define source-to-target mapping rules. - Design and implement data transformation, standardization, and cleansing processes. - Handle complex data conversions, schema transformations, and data enrichment requirements. - Resolve data inconsistencies, duplication issues, and quality concerns prior to migration. **Validation & Reconciliation** - Develop automated reconciliation and validation processes to verify migrated data. - Perform data quality checks and exception management. - Identify, investigate, and resolve migration-related issues. - Produce migration audit reports and validation documentation. **Technical Delivery** - Build and maintain migration utilities, scripts, and automation frameworks. - Optimize migration performance for large-volume datasets. - Support migration activities involving structured, semi-structured, and legacy data sources. - Collaborate with infrastructure and application teams during deployment and cutover activities. **Stakeholder Collaboration** - Work closely with business users, application owners, data architects, and project managers. - Communicate migration risks, dependencies, and progress to stakeholders. - Provide recommendations for improving migration efficiency and reducing operational risks. **Required Experience** - 6–12+ years of experience in Data Migration, Data Engineering, ETL Development, or Database Administration. - Proven experience delivering large-scale data migration projects across enterprise applications and databases. - Strong understanding of migration lifecycle, cutover planning, validation, and reconciliation processes. - Experience working with legacy systems, ERP/CRM migrations, cloud migrations, or application modernization initiatives. - Ability to manage complex migration scenarios involving large data volumes and multiple source systems. **Technical Skills** **Databases** - PostgreSQL - MySQL / MariaDB - SQL Server - Oracle - MongoDB or other NoSQL databases **Open Source Technologies (Preferred)** - Apache NiFi - Talend Open Studio - Pentaho Data Integration (Kettle) - Apache Airflow - Debezium - Kafka - Apache Spark **Data Engineering & ETL** - Data Extraction, Transformation, and Loading (ETL/ELT) - Data Profiling and Data Quality Assessment - Data Cleansing and Standardization - Data Reconciliation and Validation - Batch and Incremental Data Migration **Programming & Scripting** - SQL - Python - Shell Scripting (Linux) - PySpark (preferred) **Cloud Platforms (Preferred)** - AWS - Azure - Google Cloud Platform **Migration Methodologies** - Source-to-Target Mapping - Data Quality Frameworks - Migration Testing - Mock Cutovers - Production Cutover Planning - Rollback and Recovery Procedures **Preferred Qualifications** - Experience with open-source data integration and migration frameworks. - Experience migrating data between on-premise and cloud environments. - Exposure to ERP, CRM, HRMS, Finance, or Supply Chain application migrations. - Familiarity with data governance, audit, and compliance requirements. - Knowledge of Change Data Capture (CDC) and real-time migration approaches. - Experience with large-scale modernization or platform consolidation programs. **What Success Looks Like** - Delivers data migrations with high accuracy, minimal downtime, and complete traceability. - Ensures data integrity and reconciliation across all migration phases. - Identifies migration risks proactively and develops effective mitigation strategies. - Automates migration and validation processes to improve efficiency and reliability. - Serves as a trusted technical expert for complex migration and data conversion initiatives.