SAP
SAP HANA Data Modeler-TS/SCI + poly required-100% onsite-MD
SAP, Columbia, Maryland, United States, 21044
SAP Hana Data Modeler-Ts/Sci + Poly Required
SAP NS2 is an independent U.S. subsidiary, offering SAP solutions with specialized levels of security and support to meet the requirements of U.S. national security and critical infrastructure customers. This position requires access to customer data; Must be a U.S. citizen. SAP NS2 does not offer visa sponsorships for this role. All internals must have manager's approval to transfer. Responsibilities: Develop dimensional and transactional calculated views in SAP HANA Evaluate source data systems for variances, anomalies, and efficiency Create reusable data models and calculated views that scale across the enterprise Optimize logical and metadata models Performance tuning of long running queries/procedures Collaborate with data owners and data scientists to understand relationships in enterprise source data Desired Qualifications: Strong understanding of HANA architecture, other business intelligence suites Understanding of Attribute Based Access Control Ability to analyze business needs and translate into long term solution data models Understand relational, dimensional, cube based relationships Understand conceptual, physical, logical data models Experience with enterprise scale relational databases Experience with building queries in SAP HANA studio using BW/4HANA Objects Experience with reporting tools
Microsoft PowerBI, Tableau, Jupyter Notebooks Experience with developing SAP S4/HANA CDS Views Experience with large data volume, performance tuning Experience in ABAP programming skills and SQL Skills Experience with SDLC methodologies: Agile, Waterfall Experience in Smart Data Access and Smart Data Integration will be an added advantage Exposure to Cloud tools/integration will be an added advantage Education Requirements: Bachelor degree in Computer Science, Information Systems or related field Professional certification(s) desired Note: The job description is meant to be a guideline. It is not exhaustive, and we will expect the selected candidate to show flexibility and eagerness to undertake varied tasks and projects.
SAP NS2 is an independent U.S. subsidiary, offering SAP solutions with specialized levels of security and support to meet the requirements of U.S. national security and critical infrastructure customers. This position requires access to customer data; Must be a U.S. citizen. SAP NS2 does not offer visa sponsorships for this role. All internals must have manager's approval to transfer. Responsibilities: Develop dimensional and transactional calculated views in SAP HANA Evaluate source data systems for variances, anomalies, and efficiency Create reusable data models and calculated views that scale across the enterprise Optimize logical and metadata models Performance tuning of long running queries/procedures Collaborate with data owners and data scientists to understand relationships in enterprise source data Desired Qualifications: Strong understanding of HANA architecture, other business intelligence suites Understanding of Attribute Based Access Control Ability to analyze business needs and translate into long term solution data models Understand relational, dimensional, cube based relationships Understand conceptual, physical, logical data models Experience with enterprise scale relational databases Experience with building queries in SAP HANA studio using BW/4HANA Objects Experience with reporting tools
Microsoft PowerBI, Tableau, Jupyter Notebooks Experience with developing SAP S4/HANA CDS Views Experience with large data volume, performance tuning Experience in ABAP programming skills and SQL Skills Experience with SDLC methodologies: Agile, Waterfall Experience in Smart Data Access and Smart Data Integration will be an added advantage Exposure to Cloud tools/integration will be an added advantage Education Requirements: Bachelor degree in Computer Science, Information Systems or related field Professional certification(s) desired Note: The job description is meant to be a guideline. It is not exhaustive, and we will expect the selected candidate to show flexibility and eagerness to undertake varied tasks and projects.