Equisoft - Senior SAP Data Migration Specialist - S/4 HANA

Description :Key Roles & Responsibilities :End-to-End Data Migration Execution :- Lead and execute the full lifecycle of data migration activities using the Syniti ADMM (Advanced Data Migration & Management) toolset.- Manage all stages of migration data extraction, transformation, validation, and loading ensuring accuracy and completeness at every step.- Apply SAP BODS (BusinessObjects Data Services) for complex ETL operations, transforming legacy data to align with target SAP or ERP data structures.Data Extraction, Transformation & Loading (ETL) :- Design and develop ETL jobs in SAP BODS to extract data from various source systems, transform it based on mapping rules, and load it into the target environment.- Optimize BODS workflows for performance, scalability, and reusability.- Ensure that data transformations comply with business and technical requirements defined in data mapping documents.Data Migration Cockpit Operations :- Use the Data Migration Cockpit to monitor migration progress, track load status, and manage execution logs efficiently.- Identify, analyze, and resolve data load errors and validation failures during migration cycles.- Collaborate with functional teams to perform trial loads and mock migrations before final cutover.Data Validation, Cleansing & Reconciliation :- Perform detailed data profiling and validation to ensure high levels of data quality before migration.- Apply data cleansing techniques to remove inconsistencies, duplicates, and outdated information.- Execute post-load data reconciliation between source and target systems to confirm successful migration and ensure 100% data integrity.Syniti ADMM Tool Expertise :- Demonstrate a clear understanding of the Syniti ADMM tool interface, its various tabs, modules, and features.- Explain and utilize ADMM screen tabs (such as Design, Mapping, Validation, Execution, and Reporting) to manage different stages of the migration process.- Configure ADMM components to meet project-specific requirements, ensuring alignment with Synitis best practices and methodology.Documentation & Process Management :- Document all migration processes, transformation logic, and mapping rules clearly and accurately.- Maintain a log of exceptions, errors, and resolution steps to ensure traceability and continuous improvement.- Support the creation of technical design documents, data mapping templates, and migration runbooks for audit and knowledge-sharing purposes.Collaboration & Stakeholder Management :- Work closely with business stakeholders to gather data migration requirements and ensure the accuracy of migrated data.- Partner with functional and technical teams to align data migration activities with overall project timelines and objectives.- Communicate effectively with project managers, providing regular updates on progress, issues, and risk mitigation strategies.Quality Assurance & Continuous Improvement :- Follow Synitis Advanced Data Migration Methodology (ADMM) framework to ensure a structured, repeatable, and auditable migration process.- Participate in data quality reviews and continuous improvement discussions to enhance migration efficiency.- Identify areas of automation and optimization within the migration process to reduce manual effort and improve reliability.Mandatory Qualifications & Experience :- Total IT Experience: Minimum of 4 years in software or data engineering roles.- Syniti ADMM Experience: At least 6 to 8 months of hands-on experience in a live ADMM-based data migration project.- SAP BODS Expertise: Proven experience in developing and maintaining ETL processes using SAP BODS for data extraction, transformation, and loading.- Data Migration Cockpit Exposure: Practical experience in using SAP Data Migration Cockpit for managing and monitoring migration activities in ERP projects.- ADMM Tool Knowledge: In-depth understanding of ADMM architecture, components, and screen functionalities.- Certification: Candidates without prior ADMM project experience must hold a valid Syniti ADMM certification to qualify for this role.- ADM Experience: Solid understanding of Application Data Management (ADM) principles, including data mapping, data quality management, and validation processes.Ideal Candidate Profile:- Exposure to data migration methodologies and data governance frameworks within SAP or other ERP landscapes.- Hands-on experience in defining and implementing data quality checks and transformation logic.- Strong understanding of data models, master data management (MDM), and business rules validation.- Technical background with a BE/BTech, MCA, or MSc degree in Computer Science, Information Technology, or related field.- Familiarity with SAP S/4HANA migration processes or legacy-to-SAP integration is an added advantage.- Experience in handling large data volumes, complex mappings, and multi-phase migration projects.Core Skills & Technical Competencies :- Tools & Technologies: Syniti ADMM, SAP BODS, Data Migration Cockpit, SQL, SAP ERP, Excel, Data Profiling Tools.- ETL Development: Ability to design and optimize ETL jobs for high performance and maintainability.- Data Analysis: Strong analytical skills to understand data dependencies, relationships, and inconsistencies.- Data Quality Management: Familiarity with data cleansing, standardization, and enrichment techniques.- Reporting: Ability to generate migration reports and dashboards for audit and performance monitoring.- Testing: Participate in unit testing, integration testing, and reconciliation testing of migrated data.Personal Attributes & Soft Skills :- Analytical Thinking: Demonstrates excellent problem-solving ability and logical thinking to handle complex data challenges.- Attention to Detail: High level of precision and accuracy in handling data, ensuring that even the smallest discrepancies are identified and resolved.- Communication Skills: Strong verbal and written communication skills for effective interaction with business users, functional teams, and technical stakeholders.- Collaboration: Works well in cross-functional teams, fostering open communication and shared understanding.- Adaptability: Comfortable working in fast-paced environments with changing project priorities and evolving data requirements.- Accountability: Takes full ownership of assigned tasks, delivers results within deadlines, and maintains transparency in reporting.- Learning Orientation: Eager to learn new tools, technologies, and data migration methodologies to stay current in a rapidly evolving field.- Customer Focus: Understands business context and ensures that data migration outcomes align with business objectives and quality expectations- - - - - - - (ref:hirist.tech)