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About the Role:
We are seeking a skilled SAP Datasphere Specialist to join our team remotely, supporting the State of Pennsylvania. This role involves designing, developing, and managing SAP Datasphere solutions integrated with SAP S/4HANA and various non-SAP systems. The ideal candidate will have deep expertise in data integration, modeling, and analytics to enable seamless data exchange and empower business users with actionable insights.
Key Responsibilities:
- Design, develop, and configure SAP Datasphere solutions integrating SAP S/4HANA and non-SAP systems.
- Build and manage real-time data integration flows ensuring seamless, accurate data exchange.
- Utilize APIs, OData services, and connectors for efficient data retrieval and transformation.
- Design and implement scalable data models to support analytics and reporting needs.
- Optimize data structures, hierarchies, and relationships to maintain data consistency and accuracy.
- Develop reusable data assets compatible with reporting tools like SAP Analytics Cloud and Power BI.
- Create data pipelines and workflows for real-time and batch data processing.
- Ensure high-performance ETL (Extract, Transform, Load) processes.
- Troubleshoot and resolve data integration and transformation issues promptly.
- Collaborate with business teams to translate reporting requirements into efficient data models.
- Develop user-friendly data views for self-service analytics.
- Ensure data availability and accuracy for platforms such as SAP Analytics Cloud.
- Work closely with IT, business users, and vendors to ensure smooth project execution.
- Implement best practices for data governance, security, and system performance.
- Monitor, troubleshoot, and optimize data integration workflows for efficiency.
- Lead and participate in project activities related to enterprise systems.
- Adhere to organizational standards, policies, and procedures.
- Utilize various software and technology tools to perform job duties effectively.
- Perform other duties as assigned by PTC related to the role.
Qualifications:
- Bachelors or Masters degree in Computer Science, Information Technology, or related field.
- 3- 5 years experience in data integration and analytics.
- experience with SAP Datasphere.
- Proven experience integrating SAP Datasphere with SAP S/4HANA and non-SAP systems (e.g., Microsoft Dynamics).
- Strong expertise in real-time data integration techniques and best practices.
- Proficiency in data modeling, ETL processes, and data integration workflows.
- Hands-on experience with SAP Analytics Cloud.
- Familiarity with APIs, OData services, and data connectivity tools.
- Knowledge of SQL, scripting languages, and cloud-based data platforms is a plus.
- Strong analytical, problem-solving, and communication skills.
- Ability to thrive in a fast-paced environment and work collaboratively across teams.
- Self-motivated with the ability to work independently.
This is a remote position.
Compensation: $110,000.00 - $180,000.00 per year
About Us
Frontall has been helping connect companies with qualified talent since 2011. Specialized in HR Solutions, our purpose is to provide workers with the right tools to achieve professional excellence and, therefore, supply our clients with highly proficient staff.
We have gained a strong presence around South America by providing professional workforce to businesses, managing over 23,000 employees over the years, and also assisting talents to find great career opportunities.
We are constantly expanding our frontiers, which has enabled us to grow on an international level with several service locations in North America and South America.
At Frontall, we invest in training employees to help our clients find skilled personnel ready to serve the company with motivated and thirsty performances.
We offer complete solutions for technical, operational, and administrative areas. Also, job seekers can find great job opportunities as well as training and courses to help them develop their skills and grow professionally.
We are committed to doing our job with efficiency, feasibility, and ethics.
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