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.