Job DescriptionSAP Data Engineer — (FinTech)

NRole Summary

nDataWarehouse & Analytics Developer to design, build and maintain scalable data models and analytics solutions on SAP Datasphere, Snowflake, dbt, SAP Analytics Cloud (SAC) and Tableau — supporting a greenfield SAP S/4HANA RISE implementation and the modernization of the broader data landscape.

NKey Responsibilities

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- Translate business requirements and logical data models into optimized physical data models in SAP Datasphere and Snowflake.
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- Maintain CDS Views in SAP S/4HANA for real-time data extraction;

build data models, views, table functions and replication tasks in Datasphere/Business Data Cloud.

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- Develop, optimize and maintain dbt models, macros and orchestration workflows, using Docker Desktop containers in VS Code for isolated, consistent dev environments.
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- Write high-performance SQL, stored procedures and tasks in Snowflake to support analytical layers.
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- Design and optimize dashboards,



stories and analytical apps in SAC and Tableau (live and acquired connections).
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- Own technical design documentation, test cases, unit/integration testing, and support UAT.
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- Support production deployments, troubleshoot data pipelines, and provide hypercare/post-go-live support.
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- Follow CI/CD, SDLC and enterprise naming/performance standards.
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- Use AI-assisted tools (e.G. Claude, Gemini) to accelerate development, documentation and debugging.
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nRequired Skills

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- SAP HANA 2.0 XSA — data flows, DWF, complex SQLScript (must)
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- SDLC, CI/CD, Git/version control, logical & physical data modeling (must)
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- Advanced SQL
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NStrong Advantage

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- SAP Datasphere (Business Data Cloud), SAC, S/4HANA, ABAP CDS Views
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nNice to Have

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- dbt (Core/Cloud), Docker Desktop, VS Code
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- Snowflake (Virtual Warehouses, Snowsight), Tableau
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📌 Sap Data Engineer (Bengaluru)
🏢 Shaerp Tech
📍 Bengaluru