We are seeking a skilled Data Engineer with advanced Power BI expertise and pharmaceutical industry experience. This role involves independently developing dashboards, data models, and visualizations to support data-driven decisions across manufacturing and process development teams. Key Responsibilities: • Analyze large datasets to uncover insights and trends within pharmaceutical manufacturing processes. • Design and develop Power BI dashboards, semantic models, and visual presentations using Power BI Fabric. • Apply machine learning techniques and predictive models using Python, R, and relevant ML frameworks. • Collaborate with chemists, engineers, and cross-functional stakeholders to translate data into actionable strategies. • Present insights and visual analytics to support strategic planning and operational improvements. Qualifications: • Master’s degree in Data Science or Computer Science (recent graduates preferred). • Minimum 3 years of hands-on Power BI experience, with independently built dashboards and reports. • Strong proficiency in Power BI Fabric, Python, R, and SQL. • Experience working in the pharmaceutical industry is required. • Certified in Power BI Fabric, PL-300, and Python. • Familiarity with ML tools like TensorFlow or PyTorch is a plus. Additional Requirements: • Must complete a Power BI exam (score ≥80%)—attach results to the last page of the resume. • Subject to background check, 11-panel drug screen, vision screening, spirometry, and OSHA respirator clearance.