Data Engineer

Description: Architect and implement scalable data pipelines for structured and unstructured data. Design end-to-end data solutions including Data Lake, Data Warehouse, and Data Mart. Collaborate with stakeholders to translate business requirements into data architectures. Develop and maintain Power BI semantic models, datasets, dashboards, and reports. Requirements: Bachelor’s or master’s degree in computer science, Engineering, or related field. 8+ years of experience in data engineering with a focus on data governance and solution design. Expertise in enterprise data modeling tools and dimensional modeling methodologies. Proficiency in programming languages (Python, SQL, PySpark) and cloud data platforms (AWS, Azure). Benefits: Opportunity to work with advanced data engineering technologies and frameworks. Engage in a dynamic environment with the potential for professional growth and development.