Migration of on-premises data systems to Azure cloud platforms.
Design and implement scalable, secure, and cost-effective cloud data architectures.
Hands-on experience with Azure Data Services, including designing and implementing data solutions using Azure Data Factory, Azure SQL Database, Synapse, Analytics, Databricks, Blob Storage, and Cosmos DB.
Develop ETL/ELT processes to ingest data.
Design and optimize data models for structured and unstructured healthcare data.
Work with Azure SQL Database, Data Lake Storage, Cosmos DB, and Snowflake.
Collaboration & Analytics Support Partner with data scientists, analysts, and clinicians to understand data needs.
Enable analytics and reporting through curated data marts and semantic layers.
Proven experience working on Revenue Cycle Management (RCM) projects in healthcare or related domains.
Experience with tools like Power BI & Medsuit is a plus.
Expertise in SQL, Python (Pandas, NumPy), and big data tools (Spark, Hadoop).
Experience with data modelling, ETL frameworks, and data warehousing.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Data EngineerEmployement Type: Full time