Data Engineer

Key Responsibilities/ Accountabilities: Listing of key responsibilities / major activities necessary to fulfill the position’s purpose. If possible, please include the percentage of time spent on each key responsibility.

Advanced Data Engineering and Solution Design (80%)

* Architect and implement scalable data pipelines to process and integrate structured and unstructured data. * Design end-to-end data solutions, including Data Lake, Data Warehouse, and Data Mart, to support analytics and operational systems. * Leverage UDP framework to consolidate data pipelines across healthcare domains. * Support the integration of new data domains through standardized ingestion and transformation frameworks. * Collaborate with stakeholders to translate business requirements into scalable, high-performing data architectures. * Integrate and optimize data access across distributed systems using data federation and virtualization tools * Develop reusable data assets to support self-service analytics across programs and business domains. * Design and maintain enterprise dimensional data models including fact tables, conformed dimensions, star schemas, snowflake schemas, and analytical data marts. * Translate business and reporting requirements into scalable analytical data structures and semantic data models. * Develop and maintain semantic layers, curated datasets, and business views to support enterprise reporting and analytics. * Design, develop, and maintain Power BI semantic models, datasets, dashboards, and reports for internal and external stakeholders. * Create and optimize DAX measures, calculated columns, KPIs, and business metrics to support operational and strategic reporting. * Implement Power BI best practices including Row-Level Security (RLS), deployment pipelines, performance optimization, and governance standards. * Partner with business users and subject matter experts to gather reporting requirements and deliver actionable analytics solutions. *