RAAPID INC - Senior Data Engineer - Azure
RAAPID INC
Role Summary :We are hiring a Senior Data Engineer to drive the development of scalable, high-performance data pipelines for a migration project to a modern Azure Native architecture. This role will be instrumental in building an AI-ready data platform using Microsoft Fabric (Fabric IQ) and enabling seamless integration with AI/ML workflows (Foundry IQ).Key Responsibilities :- Design and build robust, scalable data pipelines (batch + near real-time) using Microsoft Fabric (Data Pipelines, Lakehouse).- Lead migration of existing pipelines (AKS/custom ETL) to Fabric-native architecture.- Implement Medallion Architecture (Bronze , Silver , Gold) for structured and unstructured healthcare data.- Develop and optimize data models and transformations for analytics and AI use cases.- Build ingestion frameworks for APIs (FHIR, EHR systems) and Files (JSON, HL7, CSV).- Ensure data quality, validation (FHIR/claims), and observability across pipelines.- Enable AI/ML workflows by preparing datasets for RAG pipelines and feature engineering.- Optimize pipeline performance, cost, and scalability.- Collaborate with Architects, AI/ML engineers, and Product teams to translate requirements into data solutions.- Mentor junior engineers and drive engineering best practices.Technical Skills :- Languages : Python, PySpark, SQL (advanced).- Azure / Fabric : Microsoft Fabric (preferred) OR Azure Data Factory, Synapse, Data Lake.- Data Architecture : Lakehouse, Medallion Architecture, Batch + streaming data processing.- Data Handling : JSON, Parquet, CSV, API integrations.- Performance Optimization : Partitioning, indexing, query tuning.Nice to Have :- Experience with healthcare data (FHIR, claims, EHR).- Exposure to RAG pipelines / vector databases / AI data prep.- Familiarity with event-driven architectures.- Understanding of data security & governance in regulated environments.What Were Looking For :- Strong hands-on engineer with ownership mindset.- Ability to operate in fast-paced, evolving architecture environment.- Problem-solver with focus on performance, scalability, and data quality.- Mentor and team player. (ref:hirist.tech)
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