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We are looking for a HANA database expert with strong focus & experience in SAP deployments on HANA leveraging best practices, data management topics, cloud service engineering processes, transformation, and innovation services, with a strong background in technical/functional end-to-end data environment management. This role involves working closely with cross-functional teams to ensure high availability, performance, and security of the SAP HANA landscapes within RISE.

Key activities will include engineering solutions, supporting POCs, architectures, migrations/upgrades/patching, automation, performance & tuning, and on-demand expertise and optimizing existing processes by leveraging automation and/or AI and ML.

Experience and Role Requirements:

• Bachelor s Degree / master s degree in computer science, Information Technology, or similar with 15+ years of related experience
• Strong experience with SAP HANA internals and SAP HANA Database management/administration, monitoring and maintenance (including patching and upgrades)
• Strong experience in HANA performance and tuning, Root cause analysis, HANA system replication, HANA scale-out systems, and various extension options like Native Storage Extension, Extension Nodes, dynamic tiering etc
• Strong experience in SAP Business continuity / resiliency topics including HADR etc
• Strong experience in SAP HANA SQL Script and one or more of Python/Shell/Perl
• Strong Experience in designing, implementing, and onboarding Cloud Services and solutions to the solutions Portfolio.
• Strong SAP architecture knowledge desirable to comprehend customer needs & solution appropriately.
• Experience in enterprise applications preferably SAP S/4HANA or SAP BW/4HANA and/or SAP Basis and NetWeaver
• Experienced in driving critical projects and bring them to conclusion successfully.
• Experience in triaging, troubleshooting, and resolving technical and functional incidents and problems, pertaining to SAP applications.
• Hands-on experience in hyperscalers, preferably in Azure and/or AWS and/or GCP.
• Integration experience in one or more areas: SAP Datasphere, SAP Cloud Platform Integration, Enterprise Information Management (SDI, SDA, SDS, BODS, Information Steward, SRS)
• Demonstrate a growth mindset and stay current with product and multiple industry advancements.
• Support with customer escalations to help troubleshoot and resolve incidents and problems on time.
• Excellent analytical skills, face-to-face and remote communication skills with proven ability to bridge Technology and Business goals to provide productive solutions.
• Able to continuously learn and upskill to maximize contributions to a fast-evolving organization.
• Support defining, implementing, and documenting processes for new solutions and services.
• Management of multiple activities requiring cross team coordination

Required Skills:

SAP solution knowledge including:

• S/4HANA or SAP B/4HANA.
• SAP HANA Scale-up & Scale-out solutions
• SAP HANA NSE, Extension nodes
• SAP HANA XS, SAP HANA XSA, SAP HANA Cloud
• SAP HANA Security experience
• Strong technical / solution architecting skills
• Strong scripting / programming skills will be preferred
• 7+ years of broad experience, including processes, portfolio, solution/service design and onboarding, in a leading Managed Cloud Services organization.
• Strong experience with storage architectures and one or more SAN technology, eg EMC, Hitachi, NetApp etc
• Experienced in Pacemaker and HA/DR Solutions.
• Architect level certification with one or more hyperscalers (AWS, Azure, or GCP).

Good to Have

• Functional expertise in one or more Application components: Master Data Management/Governance, Information Lifecycle Management, Data aging (pertaining to SAP S/4HANA)
• Familiarity with SAP Analytics Cloud (SAC) and/or SAP Business Technology Platform (BTP) and other SAP SaaS solutions
• Familiarity with other SAP Database products - SAP ASE, SAP IQ, SAP Replication Server.
• Familiarity with RISE with SAP offerings
• Familiarity with Jira for projects
• Familiarity with Artificial intelligence / Machine learning & leverage that knowledge in existing processes or delivery