SAP Datasphere, SAP BW/4HANA

Elfonze Technologies

Design and develop data models, flows, and solutions in SAP BW/4HANA and SAP Datasphere. Lead migration efforts and data integration pipelines while collaborating with business stakeholders.

Posted 7/9/2026full-timeRemote • 🇮🇳 IndiaMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

CloudETLSQL

About the role

Key responsibilities & impact

Design and develop end-to-end data models, data flows, and transformation logic in SAP Datasphere and SAP BW/4HANA.
Architect and implement SAP HANA-native solutions including calculation views, stored procedures, and optimized data models.
Lead data migration and harmonization efforts from legacy BW systems to BW/4HANA and SAP Datasphere.
Build and manage data integration pipelines using SAP Data Intelligence, SAP Integration Suite, or third-party ETL tools.
Collaborate with business stakeholders to translate analytical requirements into robust technical solutions.
Conduct performance tuning, query optimization, and troubleshooting across the SAP HANA platform.
Participate in SAP S/4HANA embedded analytics initiatives, leveraging CDS views and OData services.
Mentor junior team members and contribute to knowledge sharing and capability building within the practice.
Support pre-sales activities including solution scoping, effort estimation, and proposal development.

Requirements

What you’ll need

5–8 years of hands-on experience with SAP BW (BW 7.x / BW/4HANA) and SAP HANA.
Proficiency in SAP Datasphere — including business layer, data layer, data flows, and federation scenarios.
Strong command of ABAP (BW-specific) and SQL/SQLScript for HANA development.
Experience with SAP Analytics Cloud (SAC) integration, story development, and planning models.
Solid understanding of dimensional modelling, star schemas, InfoProviders, and data warehousing best practices.
Hands-on experience with SAP LT Replication Server (SLT), SAP Data Services, or SAP Data Intelligence.
Familiarity with SAP S/4HANA embedded analytics, CDS views, and virtual data models (VDM).

Benefits

Comp & perks

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Hard Skills & Tools

Data ModelingData FlowsTransformation LogicPerformance TuningQuery OptimizationDimensional ModellingStar SchemasInfoProvidersData Warehousing Best PracticesData Migration

Soft Skills

CollaborationMentoringKnowledge Sharing