Description

JD:

  • Design and build a greenfield commercial analytics platform on Microsoft Azure
  • Design cloud architecture and patterns
  • Ingest structured data for analytic consumption from a wide range of sources with Azure Data Factory
  • Design data lake patterns with Azure Data Lake Storage gen 2
  • Build an extensible analytics compute environment with Azure Databricks that can used directly by the end user as well as integrated with additional components like Power BI
  • Prioritize modularity. reusability. and componentization of solutions
  • Enable ease of use with documentation. templates. scripts. and wrapper APIs that allow a data analyst to get up and running with their preferred data sources and compute as quickly as possible
  • Work collaboratively with a distributed cross org team of engineers. architects. and data analysts
  • Manage pipelines for CI. CD and Release Management workflows. Github Jenkins integration.
  • Must have experience and understanding of modern Identity and Access Management concepts and best practices Required Qualifications
  • Excellent written and verbal communication skills and ability to work independently as well as with a team
  • 5 years experience with Microsoft Azure
  • 3 years experience with Databricks on Azure
  • 3 years experience with Azure Data Factory (ADF)
  • 3 years experience with Azure Logic Apps
  • 3 years experience with Azure Data Lake Storage gen 2 (ADLS2)
  • 3 years experience with Terraform
  • 3 years experience with API. systems. and cloud architecture design
  • 3 years experience doing analytics platform. infrastructure work
  • 3 year with a relevant langauge (Java. Scala. Python or Go)
  • Experience of working on Azure key vault. Kubernetes secrets. Hashicorp vault
  • Experience of working on Azure. on premises AD. authentication. and authorization with OIDC and OAuth2 methods
  • Cloud monitoring Experience with Azure Monitor. Azure Application Insights. and Log Analytics Workspace or other open source tools Preferred Qualifications
  • Experience with Azure Power BI
  • Experience with Azure Synapse
  • Experience with Azure Cosmos DB
  • Experience with SQL Server
  • Experience with AI and ML (esp. in Azure)
  • Experience doing analytics platform. infrastructure work in the healthcare space
  • Experience integrating with disparate data sources (EPIC. Hadoop. Oracle. etc.)
  • Experience with Tableau
  • Experience writing Spark jobs (Scala).
  • Azure Certification
  • Experience working in the healthcare industry with PHI. PII

Education

Any Graduate