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SAP SAP NS2 HANA Data Modeler-TS/SCI + poly-MD-20701 
United States, Virginia 
580246572

25.07.2024

NS2 COMPANY DESCRIPTION

offer SAP solutions with specialized levels of security and support to meet the requirements of U.S. national security and critical infrastructure customers.

Must be a U.S. Citizen; 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 Experience

  • 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.

Education Requirements:

  • Bachelor’s degree in Computer Science, Information Systems, or related field.
  • Professional certification(s) desired.
  • Active TS/SCI + Polygraph

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