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About the role
As the Data Migration Specialist, you will be responsible for owning the end-to-end migration of data from legacy systems into the target platform. Your role will involve designing, building, and executing scalable migration pipelines while ensuring data integrity, auditability, and business continuity. Key Responsibilities: - Own the full lifecycle of data migration including analysis, mapping, transformation, validation, and cutover - Design and build pipelines using Azure Data Factory - Develop transformation logic using Python/PySpark - Perform data profiling, cleansing, and mapping across systems - Implement validation, reconciliation, and audit processes - Troubleshoot and resolve migration issues - Collaborate with business and technical teams to define migration rules - Document migration logic, mappings, and processes - Support migration planning, sequencing, and cutover strategy Qualifications Required: - Strong experience with Azure Data Factory - Strong SQL/SQL Server capability - Experience with Python and/or PySpark - Proven experience in large-scale data migration projects In addition to the above responsibilities and qualifications, it is strongly desirable to have experience with Apache Spark/Databricks, ERP or legacy system migrations, Salesforce data migration, familiarity with Fabric/Lakehouse architectures, and an understanding of data governance and compliance. The company values a migration-focused approach rather than a generic data engineering background. They are looking for someone who is structured and methodical when dealing with messy legacy data and who is capable of operating independently across migration waves. As the Data Migration Specialist, you will be responsible for owning the end-to-end migration of data from legacy systems into the target platform. Your role will involve designing, building, and executing scalable migration pipelines while ensuring data integrity, auditability, and business continuity. Key Responsibilities: - Own the full lifecycle of data migration including analysis, mapping, transformation, validation, and cutover - Design and build pipelines using Azure Data Factory - Develop transformation logic using Python/PySpark - Perform data profiling, cleansing, and mapping across systems - Implement validation, reconciliation, and audit processes - Troubleshoot and resolve migration issues - Collaborate with business and technical teams to define migration rules - Document migration logic, mappings, and processes - Support migration planning, sequencing, and cutover strategy Qualifications Required: - Strong experience with Azure Data Factory - Strong SQL/SQL Server capability - Experience with Python and/or PySpark - Proven experience in large-scale data migration projects In addition to the above responsibilities and qualifications, it is strongly desirable to have experience with Apache Spark/Databricks, ERP or legacy system migrations, Salesforce data migration, familiarity with Fabric/Lakehouse architectures, and an understanding of data governance and compliance. The company values a migration-focused approach rather than a generic data engineering background. They are looking for someone who is structured and methodical when dealing with messy legacy data and who is capable of operating independently across migration waves.
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