We have a requirement for an SAP Data Engineer role with 5 to 10 years of experience, based in Hyderabad with a hybrid mode of work. As an experienced SAP Data Engineer, you will be expected to possess deep expertise in SAP Data sphere (formerly SAP Data Warehouse Cloud) and its integration with SAP S/4HANA Public Cloud, focusing on data replication and virtualization. Your strategic guidance on data virtualization versus replication will play a vital role in enhancing data efficiency across SAP systems. Additionally, you will collaborate closely with Business Analysts to support the Enterprise Analytics platform, providing critical daily insights into financial, sales, and operational metrics. Your responsibilities will include overseeing data flows to ensure optimized real-time reporting and seamless cloud data integration. You will manage SAP Data sphere in coordination with SAP SAC for data replication, virtualization, and reporting efficiency. Leading SAP Data sphere Space Management, your role will involve managing Connections, Data Builder, Business Builder, and Analytic Models. Integrating SAP Data sphere with SAP S/4HANA, ABAP CDS views, Snowflake, Azure Data Lake, and other systems to establish efficient data pipelines will be a key aspect of your duties. Developing and maintaining ETL/ELT processes to ensure accurate data migration, governance, and compliance will be part of your responsibilities. You will design and optimize scalable data models to support both batch and streaming data for structured and unstructured datasets. Implementing SAP SAC live connections, creating dashboards, and optimizing performance for large-scale data analytics will be essential. Your proficiency in SAP Analytics Cloud (SAC) and reporting tools like Power BI and Analysis for Office is highly desired. Collaborating with data scientists to integrate AI/ML models and predictive analytics into business workflows will be an important aspect of your role. Ensuring data security, governance, and observability in compliance with enterprise data policies will be a priority. Utilizing Python, Java, Spark, and SQL for advanced data transformation, replication, and integration is expected. Designing and maintaining data virtualization solutions to minimize physical data movement and reduce system complexity and costs will be part of your responsibilities. This is a full-time job requiring a Bachelor's degree. The ideal candidate should have a minimum of 2 years of experience in SAP Data sphere, SAP S/4HANA Embedded Analytics, SAP Analytics Cloud (SAC), Analysis for Office (AO), SAP Fiori UI5, and SAP BTP. The work location is in person. Job Type: Full-time,
You have a requirement for an experienced SAP Data Engineer with expertise in SAP Data sphere and its integration with SAP S/4HANA Public Cloud. The ideal candidate will provide strategic guidance on data virtualization vs. replication to enhance data efficiency across SAP systems. Collaboration with Business Analysts to deliver critical insights into financial, sales, and operational metrics is an essential aspect of this role. **Key Responsibilities:** - Oversee data flows to ensure 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 for accurate data migration, governance, and compliance. - Design and optimize scalable data models supporting 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. - 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. **Qualifications Required:** - Bachelor's degree - 2 years of experience in SAP Data sphere (Required) - 2 years of experience in SAP S/4HANA Embedded Analytics (Preferred) - 2 years of experience in SAP Analytics Cloud (SAC) (Preferred) - 2 years of experience in Analysis for Office (AO) (Preferred) - 2 years of experience in SAP Fiori UI5 (Preferred) - 2 years of experience in SAP BTP (Preferred) If you're looking to join a team where you can contribute your expertise in SAP Data engineering and work on cutting-edge projects that impact business insights, this role in Hyderabad with a hybrid mode of work could be the perfect fit for you. You have a requirement for an experienced SAP Data Engineer with expertise in SAP Data sphere and its integration with SAP S/4HANA Public Cloud. The ideal candidate will provide strategic guidance on data virtualization vs. replication to enhance data efficiency across SAP systems. Collaboration with Business Analysts to deliver critical insights into financial, sales, and operational metrics is an essential aspect of this role. **Key Responsibilities:** - Oversee data flows to ensure 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 for accurate data migration, governance, and compliance. - Design and optimize scalable data models supporting 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. - 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. **Qualifications Required:** - Bachelor's degree - 2 years of experience in SAP Data sphere (Required) - 2 years of experience in SAP S/4HANA Embedded Analytics (Preferred) - 2 years of experience in SAP Analytics Cloud (SAC) (Preferred) - 2 years of experience in Analysis for Office (AO) (Preferred) - 2 years of experience in SAP Fiori UI5 (Preferred) - 2 years of experience in SAP BTP (Preferred) If you're looking to join a team where you can contribute your expertise in SAP Data engineering and work on cutting-edge projects that impact business insights, this role in Hyderabad with a hybrid mode of work could be the perfect fit for you.