Data Engineer

Working at Freudenberg: We will wow your world! Responsibilities: Design and Build Data Pipelines: Construct and maintain robust, scalable data pipelines to seamlessly integrate data from multiple sources. Data Acquisition and Storage : Develop efficient database solutions to collect, store, and secure data, ensuring accessibility and protection. Data Transformation: Create algorithms to convert raw data into actionable insights, aligning with our business objectives. Pipeline Optimization: Continuously evaluate and enhance existing data systems and processes for improved efficiency and reliability. Quality Assurance: Implement systems to validate and ensure the accuracy and consistency of data sets. Collaboration: Work closely with machine learning engineers, data scientists, analysts, and other stakeholders to meet the organization's data-centric needs. Qualifications: Educational Background: Bachelor's degree in Computer Science, Data Engineering, Information Systems, Business Informatics, or a related field (Master's degree preferred). Proven Experience: Demonstrated experience as a Data Engineer or in a similar role. SAP Data & Analytics Expertise: Strong knowledge of SAP Datasphere, SAP Business Data Cloud (BDC), SAP Analytics Cloud (SAC), SAP HANA, CDS Views, ABAP fundamentals, SAP data extraction frameworks, and analytical data modeling best practices. Programming, Databases & Data Engineering: Proficiency in Python and SQL, strong knowledge of relational and…