SAP HANA Data Modeler

Staffed4UAnnapolis Junction, MD
13h

About The Position

A high-impact opportunity is available for an experienced SAP HANA Data Modeler to support enterprise-scale data transformation and modeling efforts. The role focuses on developing and optimizing SAP HANA data views, enabling efficient and scalable access to business data across the organization. This position requires hands-on experience with SAP HANA Studio, S4/HANA CDS Views, and deep knowledge of enterprise data modeling techniques.

Requirements

  • Deep understanding of SAP HANA architecture
  • Proficiency in building calculated views in SAP HANA Studio using BW/4HANA objects
  • Experience developing CDS Views in S4/HANA environments
  • Expertise with large data volumes and query performance tuning
  • Knowledge of relational, dimensional, and cube-based data modeling
  • Experience with enterprise relational databases and reporting tools such as Power BI, Tableau, and Jupyter Notebooks
  • Familiarity with ABAP programming and strong SQL skills
  • Exposure to business intelligence platforms (e.g., Cognos, Informatica)
  • Understanding of Attribute-Based Access Control (ABAC)
  • Experience working within Agile or Waterfall SDLC environments
  • Bachelor’s degree in Computer Science, Information Systems, or a related technical field

Nice To Haves

  • Familiarity with Smart Data Access and Smart Data Integration is a plus
  • Cloud data integration experience is a plus
  • Professional certifications related to SAP HANA, data modeling, or business intelligence are preferred

Responsibilities

  • Develop dimensional and transactional calculated views in SAP HANA
  • Design scalable and reusable data models to support enterprise-wide analytics
  • Evaluate source data systems to identify anomalies and opportunities for efficiency
  • Optimize logical and metadata models for performance and maintainability
  • Tune long-running queries and procedures for optimal performance
  • Collaborate with data owners, analysts, and data scientists to understand data relationships and business context

Benefits

  • Competitive salary and performance-based bonus opportunities
  • Comprehensive healthcare coverage (medical, dental, vision)
  • Generous paid time off (PTO), holidays, and leave flexibility
  • 401(k) with employer matching
  • Tuition reimbursement and professional development support
  • Student loan assistance and community engagement opportunities
  • Flexible scheduling and workload arrangements available for eligible employees
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