Offer summary

Qualifications:

Experience with SAP Datasphere and related technologies., Strong understanding of data architecture and cloud data warehousing principles., Ability to translate business requirements into technical solutions., Familiarity with SAP S/4HANA and SAP BW/4HANA integration..

Key responsibilities:

Understand and analyze client business requirements for SAP Datasphere solutions.

Design and implement data architectures and integration strategies.

Create and manage semantic models and data views within Datasphere.

Develop and maintain data pipelines for data ingestion and transformation.

Riskinsight Consulting was established in India in September 2018 and it is a subsidiary of Unison Consulting. Its core purpose is to offer cutting-edge solutions in a wide range of areas. Riskinsight mission is to empower companies through our insurance and financial services. We provide a wide range of risk management consulting services. Our experts are available to assist with credit, market and liquidity, insurance, regulatory risk management, statistical behavioral modeling, and regulatory risk management. Consulting services are provided to help clients implement risk management systems and risk analytics systems for their institutions. We offer a complete range of services, including techno-functional consulting, system integration, business intelligence, information administration, and custom development IT solutions. Our clients are insured and financial institutions

Job description

Role : SAP Datasphere Consultant

Location : Remote

Duration : Full time permanent

Job Scope

Understand client business requirements and translate them into scalable SAP Datasphere solutions.
Design data architectures, data flows, and integration strategies using SAP Datasphere, SAP HANA Cloud, and related technologies.
Ensure solutions are aligned with SAP best practices and cloud data warehousing principles.
Integrate data from various sources such as SAP S/4HANA, SAP BW/4HANA, third-party databases, and cloud platforms.
Create and manage semantic models, data views, entities, and relationships within Datasphere.
Develop data pipelines, including data ingestion, transformation, and provisioning.

Required profile