Data Engineer

Description

Job Summary: BPT is seeking a Data Engineer with experience in data integration, data modeling on Azure, and data visualization with Power BI to transform organizations with AI. Key Highlights: 1. Experience with Azure technologies such as Data Factory, Databricks, and Data Lake 2. Knowledge of Medallion Lakehouse Architecture and Power BI 3. Design and implementation of data models We are BPT (Business Processes \& Technologies), an AI-powered data, analytics, and applications factory. Since 2014, we have transformed organizations by strategically aligning processes, data, and artificial intelligence to achieve agility, efficiency, and precise decision-making. We deliver end-to-end technology solutions developed under our proprietary framework to identify corporate needs and support organizational transformation across two business verticals: Software \& Cloud: Cloud-native digital processes tailored to your needs as a competitive advantage. AI Power Apps: Custom digital processes enhanced with artificial intelligence as a competitive advantage. Delivered under three service models: BPT Managed POD: BPT manages the scope, quality, and technical capacity of the solution according to the Journey jointly developed with each client. Customer Managed POD (Staff Augmentation): The client integrates specialized BPT talent into their team and assumes responsibility for its management, aligned with each business’s specific needs. Support and Maintenance POD: BPT provides a dedicated team with fixed capacity to handle incidents, events, and minor enhancements, based on capacity estimation and incident/event management. We are looking for a DATA ENGINEER with experience in data integration and modeling using Azure technologies (Data Factory, Databricks, and Data Lake) and experience in data visualization with Power BI. Education * Degree in Systems Engineering, Electronics, Mechatronics, or related fields, with 3 years of experience in data engineering projects. * Certifications in Data Analytics (preferred). Skills * 3–4 years of experience in Azure Analytics projects including Data Factory and Data Lake (required). * Medallion Lakehouse Architecture (Bronze, Silver, and Gold layers) (required). * Databricks (Delta Lake, PySpark, Workflows, Unity Catalog, Databricks SQL) (required). * Agile methodologies – Azure DevOps. * Change controls and code versioning CI/CD (required). * Dimensional Data Modeling (Fact Tables, Dimensions, Slowly Changing Dimensions techniques) (required). * Teamwork, assertive communication, problem-solving. Responsibilities * Design and implementation of data models. * Development of data integration processes on-premise or in the cloud. * Data analysis and generation of business insights. * Identification and evaluation of processes eligible for automation. * Design, development, and testing of data integration processes. * Ensuring data integration quality. We Offer * Competitive salary commensurate with experience * Permanent employment contract * Comprehensive wellness and extra-legal benefits package (health, life, funeral insurance, etc.) * Training and professional development plan Job Type: Full-time, Permanent Work Location: Remote