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About R Systems
https://www.rsystems.com/
R Systems is a Blackstone portfolio company and a leading digital transformation and digital product engineering leader that designs and builds next-gen products, platforms, and digital experiences, empowering clients across various industries to overcome digital barriers, put their customers first, and achieve higher revenues and operational efficiency.
We constantly innovate and bring fresh perspectives to harness the power of the latest technologies like Cloud, Automation, AI, ML, Analytics, Mixed Reality, etc. Our 5000+ technology experts across 26 locations globally are driven to explore new digital paths, leaving no stone unturned in our quest to deliver business solutions that create meaningful impact.
Our strong product engineering mindset and capabilities allow us to partner with the technology industry, which is no longer limited to ISV and SaaS enterprises, but also includes Telecom, Media, FinTech, InsurTech, and HLS leaders across the globe.
About the Role
We are seeking an experienced Azure Data Architect with strong healthcare domain expertise and prior experience in client-facing role.
Responsibilities
Qualifications
Required Skills
Azure Cloud Data Platform, Azure Databricks, ADF, Synapse Analytics, TSQL, Power BI, SQL Managed Instance, Azure Data Lake Storage, Python, PowerShell, API Integration, Solution Design, Technical Architecture
Job ID: 150527437
Skills:
workforce analytics , Java, Machine Learning, test automation, Scala, Sql, Data Science, Azure, Python, AI technologies, Monitoring, data models, recommendation systems, R, predictive models, visualization tools, classifiers
Skills:
Data Modeling, API design, Nosql, Terraform, Docker, Python, AWS, Azure DevOps, Collibra, Cloudformation, Scala, Apache Spark, Pulumi, Sql, Jenkins, Git, Gcp, Databricks, Azure, Kubernetes, Alation, Data governance frameworks, CI CD, GitHub Actions, Databricks Unity Catalog, Delta Lake
Skills:
Apis, Ssrs, SQL Server, SSIS, ELT, Apache Airflow, Gcp, Ssas, Databricks, Azure, Etl, Data Architecture, Data Governance, Cloud Migration, Data Lakes, Infrastructure-as-Code, Event-driven Architectures
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