Chief S/4 HANA Developer

We are building enterprise SAP HANA backend solutions that power manufacturing, engineering, and operations analytics in a global semiconductor environment. As a Chief S/4 HANA Developer, you will shape data models, ETL pipelines, and performance tuning across SAP landscapes to deliver scalable, high-quality insights. Apply now to help drive impactful data solutions Responsibilities Design and optimize SAP HANA native models, including Calculation Views, CDS Views, Stored Procedures, and SQLScript, for backend processing and aggregations Build and sustain efficient ETL pipelines to extract, transform, and load data from SAP and non-SAP sources, including SAP ECC, SAP S/4HANA, and third-party systems Collaborate with cross-functional teams to define scalable data flows and data architectures for analytics and operational reporting Develop end-to-end data workflows, safeguard data quality, and resolve data discrepancies through monitoring and troubleshooting Support business processes with custom analytics, KPI tracking, and actionable insights powered by SAP HANA backend solutions Optimize processing performance for large datasets and complex workflows by leveraging SAP HANA in-memory database capabilities Coordinate with engineers, business analysts, and solution architects to gather requirements and deliver tailored, high-quality solutions Participate in Agile (SAFe) ceremonies, including sprints, planning, and retrospectives, while delivering incremental value to stakeholders Document technical best practices, processes, and shared knowledge for key SAP HANA solutions Requirements Extensive experience with SAP HANA development or equivalent roles across the SAP ecosystem Demonstrated expertise in SAP HANA native modeling, including hands-on work with Calculation Views, CDS Views, Procedures, and SQLScript Hands-on experience designing and maintaining ETL workflows and data pipelines within SAP environments like HANA Solid familiarity integrating SAP systems such as SAP ECC, SAP S/4HANA, or other legacy systems into data workflows Proven track record in data performance optimization, database tuning, and scaling solutions for large datasets Working knowledge of Agile methodologies and collaboration tools such as JIRA and Confluence Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related technical field Excellent problem-solving, troubleshooting, and communication skills with a collaborative approach English proficiency at B2+ (Upper-Intermediate) level Nice to have Domain experience in manufacturing or engineering, including areas like quality assurance or supply chain analytics Familiarity with SAP Datasphere, SAP Data Intelligence, or similar modern SAP integration tools