Data Engineer

Advanced Data Engineering And Solution DesignArchitect 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 toolsDevelop 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.Ensure consistency of business definitions, metrics, and calculations across enterprise reporting and analytics platforms.Data Governance And ComplianceDevelop and enforce data governance standards, ensuring consistency, accuracy, and compliance with regulatory frameworks (e.g, HIPAA).Implement data lineage, metadata management, and auditability practices using tools like AWS Glue Data Catalog.Establish and manage data stewardship frameworks to improve data quality and trust across the organization.Performance Optimization And SecurityOptimize system performance by designing and implementing data partitioning, indexing, and compression strategies.Ensure data security through access controls, encryption, and secure design practices.