Job Description
SAP needs a Data Product Engineer for Master Data position who will create reusable high-quality data products to implement the company’s AI-first strategy. The position requires building scalable data solutions which use SAP Business Data Cloud to support analytics and drive AI-powered processes throughout the organization. Candidates will work with multiple teams to create data models while developing new solutions that match the needs of rapidly changing technologies.
Qualification: Bachelor’s Degree or equivalent
Experience: 5+ years required
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Main Duties:
- Develop reusable and high-quality data products for Master Data to support AI-driven business processes.
- Design and implement data models and analytical datasets using SAP Datasphere, SAP HANA, and Databricks.
- Collaborate with cross-functional teams to gather requirements and deliver scalable data solutions.
- Build and optimize SQL-based data pipelines, stored procedures, and functions.
- Work in agile environments (Scrum/SAFe) to continuously improve data systems and innovation.
Essential Qualifications:
- Five years of work experience in consulting and development positions which focus on analytics.
- Advanced skills for developing data models and writing SQL code.
- Experience with SAP Datasphere, SAP HANA and HANA Cloud and similar platforms.
- Demonstrates the ability to resolve advanced technical problems which occur in business environments.
- Possesses strong abilities for working with others and conveying information to different audiences.
Preferred Skills:
- Demonstrate their ability to work with SAP platforms which include S/4HANA and CRM and MDG systems.
- Needs to have programming skills in Python which would be beneficial for their work.
- Experience working with Databricks and cloud-based data platforms.
- The candidate has worked in Agile and Scrum and SAFe methodologies.
- Possesses strong problem-solving abilities which enable him to learn and use new technologies.