SAP Data Sphere

Global IT Solutions, Inc - Texas

Houston (TX)

On-site

USD 80,000 - 110,000

Full time

14 days+

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Job summary

An innovative firm is on the lookout for a skilled SAP DataSphere Specialist to enhance their data integration and management strategies. In this pivotal role, you will leverage your expertise in cloud-based data platforms and SAP's data ecosystem to design, implement, and optimize data solutions that align with business goals. Collaborating with cross-functional teams, you will ensure seamless integration and provide actionable insights through optimized reporting pipelines. If you're passionate about data governance and eager to make a significant impact in a dynamic environment, this opportunity is perfect for you.

Qualifications

  • 3-5 years of experience with SAP DataSphere and related SAP technologies.
  • Strong experience in data integration and data governance.

Responsibilities

  • Design and manage data integration processes using SAP DataSphere.
  • Implement data governance policies to ensure data quality and security.

Skills

Data Integration
Data Governance
SQL
Python
Communication Skills
Problem-Solving Skills

Education

Bachelor's degree in Computer Science
Relevant certifications in SAP or data management

Tools

SAP DataSphere
SAP HANA
AWS
Azure
Google Cloud

Job description

SAP DataSphere Specialist

We are seeking a skilled and passionate SAP DataSphere Specialist. This individual will play a crucial role in leveraging SAP DataSphere to help drive our data integration and data management strategies. The ideal candidate will have experience in cloud-based data platforms and a deep understanding of SAP's data ecosystem, with the ability to design, implement, and optimize data solutions for our organization.

Key Responsibilities
  • Data Integration: Design, implement, and manage data integration processes using SAP DataSphere. Collaborate with data architects and engineers to ensure seamless integration with various SAP systems and third-party platforms.
  • Platform Optimization: Work to optimize the performance and efficiency of SAP DataSphere. Troubleshoot and resolve performance issues in data flows and pipelines.
  • Data Governance: Implement and maintain data governance policies within SAP DataSphere to ensure data quality, privacy, and security.
  • Collaboration: Partner with cross-functional teams to understand data requirements and provide scalable solutions. Collaborate with SAP, cloud, and business intelligence teams for end-to-end data flow integration.
  • Cloud Solutions: Utilize SAP DataSphere's cloud capabilities for scalable data management and analytics. Design cloud data architectures and ensure alignment with business goals.
  • Reporting & Analytics: Develop and optimize reporting pipelines using SAP DataSphere, ensuring accurate, timely, and actionable insights for the business.
  • Training & Support: Provide training to internal stakeholders on best practices for using SAP DataSphere and offer ongoing support.
Qualifications
Preferred Qualifications
  • Education: Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field. Relevant certifications in SAP or data management preferred.
  • Experience:
    • Minimum 3-5 years of experience with SAP DataSphere, SAP HANA, or related SAP technologies.
    • Strong experience in data integration, data modeling, and data governance within the SAP ecosystem.
    • Proficiency in SQL, Python, or other data transformation tools is a plus.
    • Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) is highly desirable.
  • Technical Skills:
    • Familiarity with SAP DataSphere architecture, data pipelines, and integration methods.
    • Knowledge of SAP S/4HANA, SAP BW, and SAP Cloud Platform is a plus.
    • Strong troubleshooting and problem-solving skills.
  • Soft Skills:
    • Strong communication and collaboration abilities.
    • Ability to work independently and in a team-oriented environment.
    • Detail-oriented with a focus on delivering high-quality results.
    • Experience with data lake solutions or ETL tools.
    • Knowledge of machine learning and AI integration in data workflows.
    • SAP DataSphere certification.
Seniority level

Mid-Senior level

Employment type

Contract

Job function

Information Technology

Industries

IT Services and IT Consulting

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