About this role
Job location: Remote, India About the role: The Data Engineering team is seeking an experienced SAP Data Engineer to join our growing team and play a pivotal role in enabling data-driven decision-making across the organization. The successful candidate will bring deep expertise in SAP landscapes—including SAP ECC, S/4HANA, BW/4HANA, DataSphere, and SAP Data Services—and will be responsible for designing, building, and maintaining robust data pipelines that connect SAP systems with the broader enterprise data ecosystem. The SAP Data Engineer will assist with workloads outside of SAP and will be given the opportunity to grow and develop their general cloud skills on AWS. This role requires strong technical skills, a solid grasp of business process requirements, and the ability to translate complex SAP data structures into clean, actionable insights. Design and implement modern ETL/ELT architectures integrating SAP source systems (ECC, S/4HANA, BW/4HANA) with cloud-based data platforms. Develop and maintain robust data pipelines to extract, transform, and load SAP data into enterprise data warehouses and data lakes for BI and reporting needs. Build and manage integrations using SAP Data Services, SAP BW Extractors, ODP (Operational Data Provisioning), and RFC/BAPI connections. Partner with SAP functional consultants and business stakeholders to grasp data structures, business logic, and transformation requirements. Build data flows into SAP and SAP Analytics Cloud to enhance the data available to our FP&A team Administer and optimize SAP-connected databases and data stores to ensure high performance, availability, and data integrity. Partner with the BI team to optimize reporting experience by aligning SAP data preprocessing, schema design, and dimensional data modeling. Monitor and optimize data storage, processing, and pipeline costs across SAP and cloud environments, proactively recommending cost-effective improvements. Design and implement real-time and near-real-time data pipeline architectures (e.g., SAP SLT, SAP CDS Views, event-driven pipelines) for critical business workflows. Develop a robust alerting and data quality framework to detect, escalate, and resolve SAP data discrepancies efficiently. Document data flows, SAP integration patterns, and pipeline architectures to maintain operational knowledge and assist team scalability.