Azure Data Scientist: Enterprise Analytics (Hybrid Raleigh)

viva

Raleigh (NC)

Hybrid

USD 110,000 - 117,000

Full time

5 days ago
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Job summary

viva is hiring a Data Scientist for a hybrid role in Raleigh, NC. You will design, manage, and optimize enterprise data pipelines, data warehouses, and analytics solutions using Microsoft Azure.

The role emphasizes Azure Synapse Analytics, Fabric Lakehouse, and AI integration with Azure OpenAI Service, focusing on secure data governance and scalable analytics. Collaboration with business users and cross-functional teams is essential.

Qualifications

  • 7 years of experience in enterprise data analytics, engineering, and designing complex ETL workflows.

Responsibilities

  • Design, build, and maintain robust enterprise ETL/ELT pipelines using Azure Data Factory, Synapse Pipelines, or PL/SQL procedures.
  • Manage and optimize Azure Synapse Analytics across SQL and Spark pools, and support Microsoft Fabric Lakehouse workloads.
  • Develop, test, and tune complex SQL and PL/SQL scripts, including stored procedures, packages, and functions for data integration.
  • Partner with business users to define analytical objectives and produce datasets that are Power BI-ready.
  • Integrate AI and machine learning insights using Azure Machine Learning and the Azure OpenAI Service.
  • Apply data governance, quality, and security practices using Microsoft Purview and Microsoft Entra ID.
  • Build cross-functional reporting and dashboards, and develop predictive analytics models.

Skills

Azure Synapse
SQL
Python
PySpark
Power BI
Agile
RBAC

Tools

Azure Data Factory
Azure Synapse Analytics
Fabric Lakehouse
Azure OpenAI Service
Purview
Entra ID
Power BI

Job description

viva is hiring a Data Scientist for a hybrid role in Raleigh, NC. You will design, manage, and optimize enterprise data pipelines, data warehouses, and analytics solutions using Microsoft Azure.

The role emphasizes Azure Synapse Analytics, Fabric Lakehouse, and AI integration with Azure OpenAI Service, focusing on secure data governance and scalable analytics. Collaboration with business users and cross-functional teams is essential.

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