SAP NS2 Senior Data Modeler Consultant-TS/SCI + poly-MD-20701 Restaurants & Beverage - Herndon, VA at Geebo

SAP NS2 Senior Data Modeler Consultant-TS/SCI + poly-MD-20701

We help the world run betterOur company culture is focused on helping our employees enable innovation by building breakthroughs together. How? We focus every day on building the foundation for tomorrow and creating a workplace that embraces differences, values flexibility, and is aligned to our purpose-driven and future-focused work. We offer a highly collaborative, caring team environment with a strong focus on learning and development, recognition for your individual contributions, and a variety of benefit options for you to choose from. Apply now!SAP NS2 Senior Data Modeler Consultant-TS/SCI
poly-MD-20701SAP is the global market leader for business software and related services, and SAP National Security Services Inc. (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.Must be a U.S. Citizen with active TS/SCI
poly; NS2 does not offer Visa sponsorships for this role. All internals must have manager's approval to transfer.
Responsibilities:
Design, implement, and document data architecture and data modeling solution, which include the use of relational, dimensional, and NoSQL databases. These solutions support enterprise information management, business intelligence, machine learning, data science, and other business interests.Oversee and govern the expansion of existing data architecture and the optimization of data query performance via best practices. The candidate must be able to work independently and collaboratively.Work with business and application/solution teams to implement data strategies, build data flows, and develop conceptual/logical/physical data modelsWork proactively and independently to address project requirements and articulate issues/challenges to reduce project delivery risks.Required SkillsHands-on relational, dimensional, and/or analytic experience (using RDBMS, dimensional, NoSQL data platform technologies, and ETL and data ingestion protocols).Experience with data warehouse, data lake, and enterprise big data platforms in multi-data-center contexts required.Good knowledge of metadata management, data modeling, and related tools.Bachelor's degree or master's degree
5-8 years' experience Soft Skills Ability to work in a fast-paced, constantly changing environment Strong written and oral communication skillsMust be a U.S. Citizen with active TS/SCI
poly. #LI-onsight We build breakthroughs togetherSAP innovations help more than 400,000 customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with 200 million users and more than 100,000 employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, we build breakthroughs, together.We win with inclusionSAP's culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone regardless of background feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better and more equitable world.
SAP is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to the values of Equal Employment Opportunity and provide accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team:
Careers@sap.com.
For SAP employees:
Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.EOE AA M/F/Vet/DisabilityQualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, age, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability.Compensation Range Transparency:
SAP believes the value of pay transparency contributes towards an honest and supportive culture and is a significant step toward demonstrating SAP's commitment to pay equity. SAP provides the annualized compensation range inclusive of base salary and variable incentive target for the career level applicable to the posted role. The targeted combined range for this position is $146,000-326,100 USD. The actual amount to be offered to the successful candidate will be within that range, dependent upon the key aspects of each case which may include education, skills, experience, scope of the role, location, etc. as determined through the selection process. Any SAP variable incentive includes a targeted dollar amount and any actual payout amount is dependent on company and personal performance. Please reference this link for a summary of SAP benefits and eligibility requirements:
SAP North America Benefits.Requisition ID:
378876 Work Area:
Consulting and Professional Services Expected Travel:
0 - 10% Career Status:
Professional Employment Type:
Regular Full Time Additional Locations:
#LI-HybridEstimated Salary: $20 to $28 per hour based on qualifications.

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