Job Description
Job Description•Architect and implement robust ETL pipelines to extract data from SAP ECC, SAP S/4 HANA, SAP HANA, and SAP Datasphere using best-practice integration methods (e.g., ODP, CDS views, RFCs, BAPIs).
•Analyze and interpret SAP’s internal data models (e.g., tables like BKPF, BSEG, MARA, EKPO) and work closely with SAP functional and technical teams.
•Work with SAP Datasphere (SAP Data Warehouse Cloud) to federate or replicate SAP data for consumption in the EDP (highly desired).
•Review or interpret ABAP logic when necessary to understand legacy transformation rules and business logic (nice to have).
•Lead the end-to-end data integration process from SAP ECC, ensuring deep alignment with the EDP’s design and downstream data usage needs.
•Leverage knowledge of HANA Data Warehouse and SAP BW to support historical reporting and semantic modeling.
•Design and build robust, scalable ETL/ELT pipelines to ingest data into Microsoft cloud using tools such as Azure Data Factory, or Alteryx.
•Automate data movement from SAP into Azure Data Lake Storage / OneLake, enabling clean handoffs for consumption by Power BI, data science models, and APIs.
•Build data transformations in SQL, Python, and PySpark, leveraging distributed compute (e.g., Synapse or Spark pools).
•Work closely with cloud architects to ensure integration patterns are secure, cost-effective, and meet performance SLAs.SAP S/4HANA, Datastage ETL, SAP ECC, SAP