SAP Data Engineer

Overview

We have a requirement for SAP Data engineer role

Exp : 5 – 10 Years

Location : Hyderabad and Hybrid mode of work.

We are looking for an experienced SAP Data Engineer with deep expertise in SAP Data sphere (formerly SAP Data Warehouse Cloud) and its integration with SAP S/4HANA Public Cloud, with a strong focus on data replication and virtualization.

The ideal candidate will provide strategic guidance on data virtualization vs. replication to enhance data efficiency across SAP systems. Additionally, this role will collaborate closely with Business Analysts to support our Enterprise Analytics platform, delivering critical daily insights into financial, sales, and operational metrics.

Required Skills:

• SAP Data sphere
• SAP S/4HANA Embedded Analytics
• SAP Analytics Cloud (SAC)
• Analysis for Office (AO)
• SAP Fiori UI5
• SAP BTP

Experience: 5 to 10 Years

Job Location: Hyderabad

Duties and Responsibilities:

• Oversee data flows, ensuring optimized real-time reporting and seamless cloud data integration.
• Manage SAP Data sphere in coordination with SAP SAC for data replication, virtualization, and reporting efficiency.
• Lead SAP Data sphere Space Management, including Connections, Data Builder, Business Builder, and Analytic Models.
• Integrate SAP Data sphere with SAP S/4HANA, ABAP CDS views, Snowflake, Azure Data Lake and other systems to establish efficient data pipelines.
• Develop and maintain ETL/ELT processes to ensure accurate data migration, governance, and compliance.
• Design and optimize scalable data models, supporting both batch and streaming data for structured and unstructured datasets.
• Implement SAP SAC live connections, create dashboards, and optimize performance for large-scale data analytics.
• Proficiency in SAP Analytics Cloud (SAC) and reporting tools like Power BI and Analysis for Office
• Collaborate with data scientists to integrate AI/ML models and predictive analytics into business workflows.
• Ensure data security, governance, and observability in compliance with enterprise data policies.
• Utilize Python, Java, Spark, and SQL for advanced data transformation, replication, and integration.
• Design and maintain data virtualization solutions to minimize physical data movement and reduce system complexity and costs.

Job Type: Full-time

Pay: ₹2,400,000.00 - ₹3,000,000.00 per year

Education:

• Bachelor's (Required)

Experience:

• SAP Data sphere: 2 years (Required)
• SAP S/4HANA Embedded Analytics: 2 years (Preferred)
• SAP Analytics Cloud (SAC): 2 years (Preferred)
• Analysis for Office (AO): 2 years (Preferred)
• SAP Fiori UI5: 2 years (Preferred)
• SAP BTP: 2 years (Preferred)

Work Location: In person