SAP Data Integration (Business Objects) - Hybrid in MO/ NC/CO/CT/TX (4 Days/week)

Job Title :: SAP Data Integration Engineer Location :: Hybrid - St. Louis, MO/ Charlotte, NC Duration :: 6+ Months Interview :: WebEx/Video Job Description This person needs to be onsite of one of the locations listed below:- Must be Hybrid 4Days/week Location: • St. Louis, MO • Charlotte, NC • Greenwood Village, CO • Stamford, CT • Dallas, TX Logistics • This team has implemented a new supply chain demand planning tool, called O9. • The team's job is to make sure data gets from their SAP environment to AWS Redshift where O9 can pick it up. • Engineer experience with SAP BODS (Business Objects Data Services), which is the tool that will send data from EHANA (enterprise HANA/on premise) to AWS Data Integration Engineer (SAP BODS) • The ideal candidate will be a hands-on engineer with a proven track record of creating and maintaining robust data pipelines. • You will play a crucial role in ensuring seamless data flow from our SAP environment to our cloud-based data warehouse, supporting a newly implemented supply chain demand planning tool. Key Responsibilities • Design, develop, and maintain data pipelines to extract data from our SAP S4 on HANA (EHANA) environment. • Utilize SAP BusinessObjects Data Services (BODS) as the primary tool for data extraction, transformation, and loading (ETL). • Ensure timely and accurate delivery of data to AWS Redshift to support our supply chain planning tool. • Collaborate with cross-functional teams to understand data requirements and implement effective solutions. • Monitor data pipelines to ensure high performance, data quality, and reliability. • Troubleshoot and resolve any data flow issues or errors in a timely manner. Required Skills & Experience • Proven, hands-on experience as a data engineer. • Expertise with SAP BusinessObjects Data Services (BODS) is a must. • Solid understanding of SAP environments, specifically SAP S4 on HANA (EHANA). • Experience with AWS services, particularly Redshift. • Strong knowledge of ETL/ELT processes and data warehousing concepts.