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Lead the implementation and continuous improvement of SAP Data Volume Management (DVM) strategies to optimize data storage and system performance. • Conduct data volume analysis, implement data archiving, and ensure data compliance in accordance with company policies and regulatory requirements. • Collaborate with multiple stakeholders to identify and resolve data volume issues and performance bottlenecks. • Develop and execute strategies for managing data growth and ensuring optimal system resource usage. • Utilize SAP DVM tools and solutions to analyze, archive, and delete obsolete data, ensuring efficient use of storage and database resources. • Define, design, and implement data archiving procedures and retention policies to meet business needs and compliance requirements. • Provide regular reports on data volumes, storage consumption, and system performance, offering recommendations for improvements. • Ensure system availability and performance through proactive monitoring of data volumes, database growth, and system health. • Collaborate with IT infrastructure teams to develop strategies for database and storage capacity planning. • Stay up to date with SAP best practices and new features related to DVM and data management.
Skills Required:
6 to 8 years of experience in SAP Basis and SAP Data Volume Management, with a proven track record in implementing data archiving, retention, and purging processes. • In-depth knowledge of SAP DVM tools such as SAP ILM (Information Lifecycle Management), Data Archiving, and Data Purging. • Strong experience in SAP HANA, with a focus on database performance optimization and capacity management. • Operate solutions using SAP SARA and ILM • Solid understanding of database management concepts, including table partitioning, data compression, and indexing. • Hands-on experience with SAP data archiving tools and technologies (e.g., OpenText, Archive Link). • Excellent problem-solving skills and the ability to analyze complex data issues. • SAP Basis and HANA database administration • Strong communication skills to interact with stakeholders across business units and IT teams. • Experience in planning and executing large-scale data management projects and initiatives
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