SAP Data Engineer

Designation: SAP Data Engineer
Location: Hyderabad
Experience: 5 - 10 Years
Opening: 01

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

Job Description:

  • Provide strategic guidance on data virtualization vs. replication to enhance data efficiency across SAP systems.
  • Collaborate closely with Business Analysts to support the Enterprise Analytics platform.
  • Deliver critical daily insights into financial, sales, and operational metrics.
  • 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.
  • 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.
  • Design and maintain data virtualization solutions to minimize physical data movement and reduce system complexity and costs.

Skills and Experience Required:

  • Experience in SAP Analytics Cloud (SAC) and reporting tools like Power BI and Analysis for Office.
  • Strong expertise in SAP Datasphere, S/4HANA Embedded Analytics, and SAP BTP.
  • Hands-on experience with Python, Java, Spark, and SQL for advanced data transformation, replication, and integration.
  • Knowledge of SAP Fiori UI5 for enhanced reporting and visualization.
  • Experience in managing large-scale enterprise analytics and data integration projects.