Deloitte’s Technology & Transformation practice helps organizations uncover and unlock the value hidden within vast amounts of data. Our global network provides strategic guidance and implementation services to help organizations manage data from disparate sources and transform it into accurate, actionable insights that support fact-driven decision-making and drive business advantage
- Plan, design, and execute end-to-end data migration strategies across enterprise applications and databases.
- Perform data discovery, profiling, assessment, extraction, transformation, cleansing, loading, validation, and reconciliation.
- Develop source-to-target mapping, migration runbooks, cutover plans, rollback procedures, and migration schedules.
- Execute mock migrations, production cutovers, and post-migration validation while ensuring minimal business disruption.
- Build and maintain migration utilities, automation frameworks, and scripts to improve migration efficiency.
- Optimize migration performance for large-scale datasets across structured, semi-structured, and legacy data sources.
- Resolve data quality issues, duplication, inconsistencies, and migration-related exceptions.
- Collaborate with business stakeholders, data architects, application teams, and project managers to ensure successful migration delivery.
- Support cloud, legacy modernization, ERP/CRM, and application migration initiatives.
- Ensure data integrity, governance, compliance, audit readiness, and complete migration traceability.
- 6–12+ years of experience in Data Migration, Data Engineering, ETL Development, or Database Administration.
- Strong expertise in ETL/ELT processes, Data Profiling, Data Cleansing, Data Validation, and Data Reconciliation.
- Hands-on experience with PostgreSQL, Oracle, SQL Server, MySQL/MariaDB, MongoDB, or other NoSQL databases.
- Proficiency in SQL, Python, Shell Scripting (Linux), and preferably PySpark.
- Experience with open-source migration and integration tools such as Apache NiFi, Talend Open Studio, Pentaho Data Integration (Kettle), Apache Airflow, Debezium, Kafka, and Apache Spark.
- Knowledge of Change Data Capture (CDC), batch and incremental migration approaches.
- Experience with AWS, Azure, or Google Cloud Platform is preferred.
- Strong understanding of migration lifecycle, cutover planning, rollback strategies, testing, and reconciliation.
- Excellent analytical, troubleshooting, stakeholder management, and communication skills.
- Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.
- 6–12+ years of relevant experience in enterprise-scale Data Migration, ETL, or Data Engineering projects.
- Experience in ERP, CRM, HRMS, Finance, Supply Chain, cloud migration, or application modernization projects is preferred.
- Exposure to data governance, compliance, and audit frameworks is an added advantage.
- Location: As per business/project requirements.
- Way of Working: Hybrid / Work from Office / Remote (based on project and organizational policy). Collaborate with cross-functional teams and support migration activities during testing, mock cutovers, and production deployment windows.
