SAP DVM Consultant

Job Description

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