SAP Data Engineer

Shaerp Tech; Bengaluru; On-site; INR 1,400,000 - 2,200,000; Full time

Job summary

Shaerp Tech is seeking a Data Warehouse & Analytics Developer to design, build and maintain scalable data models and analytics solutions on SAP Datasphere, Snowflake, dbt, SAP Analytics Cloud and Tableau. This role supports a greenfield S/4HANA RISE implementation and modernization of the broader data landscape.

You will translate business requirements into optimized physical data models, maintain S/4HANA CDS Views, develop dbt/macros, and build high-performance SQL and dashboards.

Qualifications

• Must implement SDLC/CI/CD, governance and version control practices.
• Must translate business requirements into optimized data models.
• Experience with SAP Datasphere and Snowflake data landscapes is preferred.

Responsibilities

• Translate business requirements into optimized physical data models in SAP Datasphere and Snowflake.
• Maintain CDS Views in SAP S/4HANA for real-time data extraction and replication tasks.
• Develop and optimize dbt models, macros, and orchestration workflows using containerized dev environments.
• Write high-performance SQL, stored procedures, and tasks in Snowflake for analytics.
• Design and optimize dashboards and analytics apps in SAC and Tableau with live/acquired connections.
• Own technical design docs, test cases, and support UAT.
• Support production deployments, troubleshoot data pipelines, and provide post-go-live support.
• Follow CI/CD, SDLC and enterprise naming/performance standards.
• Use AI-assisted tools to accelerate development and debugging.

Skills

SDLC & CI/CD

Advanced SQL

Git/version control

Data modeling (logical & physical)

Tools

SAP Datasphere

SAC

Snowflake

dbt

Docker Desktop

VS Code

Tableau

S/4HANA CDS Views

Job description

Data Warehouse & 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.

Key Responsibilities

• Translate business requirements and logical data models into optimized physical data models in SAP Datasphere and Snowflake.
• 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.
• Develop, optimize and maintain dbt models, macros and orchestration workflows, using Docker Desktop containers in VS Code for isolated, consistent dev environments.
• Write high-performance SQL, stored procedures and tasks in Snowflake to support analytical layers.
• Design and optimize dashboards, stories and analytical apps in SAC and Tableau (live and acquired connections).
• Own technical design documentation, test cases, unit/integration testing, and support UAT.
• Support production deployments, troubleshoot data pipelines, and provide hypercare/post-go-live support.
• Follow CI/CD, SDLC and enterprise naming/performance standards.
• Use AI-assisted tools (e.g. Claude, Gemini) to accelerate development, documentation and debugging.

Required Skills

• SDLC, CI/CD, Git/version control, logical & physical data modeling (must)
• Advanced SQL

Strong Advantage

• SAP Datasphere (Business Data Cloud), SAC, S/4HANA, ABAP CDS Views

Nice to Have

• dbt (Core/Cloud), Docker Desktop, VS Code
• Snowflake (Virtual Warehouses, Snowsight), Tableau