SAP
SAP NS2 HANA Data Modeler (Onsite Maryland) Active TS SCI with Polygraph
SAP, Herndon, Virginia, United States, 22070
SAP NS2 HANA Data Modeler (Onsite Maryland) Active TS SCI with Polygraph
Location: Maryland (Onsite)
Security Clearance: Active TS SCI with Polygraph
Employment Type: Limited Full Time (Professional)
Expected Travel: 0-10%
Job Summary Develop dimensional and transactional calculated views in SAP HANA, evaluate source data systems for variances and anomalies, create reusable data models that scale across the enterprise, optimize logical and metadata models, perform performance tuning of long‑running queries and procedures, and collaborate with data owners and data scientists to understand relationships in enterprise source data.
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 (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 – added advantage
Exposure to Cloud tools/integration – added advantage
Education Requirements
Bachelor degree in Computer Science, Information Systems or related field
Professional certification(s) desired
Equal Employment Opportunity Qualified applicants will receive consideration for employment without regard to age, race, religion, national origin, ethnicity, gender, sexual orientation, gender identity, protected veteran status or disability.
Compensation Range Transparency Targeted combined range for this position: USD [range not specified in source].
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Security Clearance: Active TS SCI with Polygraph
Employment Type: Limited Full Time (Professional)
Expected Travel: 0-10%
Job Summary Develop dimensional and transactional calculated views in SAP HANA, evaluate source data systems for variances and anomalies, create reusable data models that scale across the enterprise, optimize logical and metadata models, perform performance tuning of long‑running queries and procedures, and collaborate with data owners and data scientists to understand relationships in enterprise source data.
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 (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 – added advantage
Exposure to Cloud tools/integration – added advantage
Education Requirements
Bachelor degree in Computer Science, Information Systems or related field
Professional certification(s) desired
Equal Employment Opportunity Qualified applicants will receive consideration for employment without regard to age, race, religion, national origin, ethnicity, gender, sexual orientation, gender identity, protected veteran status or disability.
Compensation Range Transparency Targeted combined range for this position: USD [range not specified in source].
#J-18808-Ljbffr