SAP NS2 HANA Data Modeler (Onsite Maryland) Active TS SCI with Polygraph

SAP • Herndon, VA

66d • Hybrid

About The Position

At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging - but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. 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.

Requirements

• Strong understanding of HANA architecture, other business intelligence suites (COGNOS, Informatica, etc)
• 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

Nice To Haves

• Professional certification(s) desired

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

Benefits

• Constant learning and skill growth
• Great benefits
• Flexible working models
• Commitment to personal development

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Professional, Scientific, and Technical Services
• Education Level: Bachelor's degree
• Number of Employees: 5,001-10,000 employees