Job ID: NC-91112)
Hybrid/Local Azure Synapse Data Analyst/Scientist (15+) with ADF, Fabric Lakehouse, AI/ML, PySpark/Python/Scala, DW, ETL, PL/SQL, Entra ID, Purview, Power BI, OpenAI, query optimization/tuning/indexing, analytics/engineering/modeling/optimization, and Agile/Scrum/Kanban/SAFe experience
Location: Raleigh, NC (NCDHHS-NCFAST)
Duration: 12 Months
Skills:
Experience in enterprise data analytics, engineering, and designing complex ETL workflows. Required 7 Years
Expertise in Azure Synapse Analytics, Azure Data Factory, and cloud data warehousing Required 4 Years
Advanced SQL and PL/SQL skills, including query optimization, performance tuning, and indexing strategies Required 7 Years
Hands-on experience with PySpark, Python, or Scala Required 6 Years
Experience with data modeling, performance tuning, and cost optimization in Azure Required 4 Years
Strong knowledge of Microsoft Entra ID, role-based access control (RBAC), and cloud security Required 3 Years
Familiarity with Power BI semantic models and dataflows Required 3 Years
Knowledge of Azure OpenAI or generative AI data integration Highly desired 3 Years
Ability to organize, prioritize, and follow complex and/or detailed technical procedures Required 7 Years
Experience with Agile (Scrum, Kanban, or SAFe) development Required 3 Years
Description:
NC DHHS requires the services of a Senior Data Analyst that will help us design, manage, and optimize enterprise data pipelines, data warehouses, and drives advanced analytics solutions using Microsoft Azure services like Synapse, Fabric, and AI.
NC DHHS requires the services of a Senior Data Analyst that will help us design, manage, and optimize enterprise data pipelines, data warehouses, and analytics solutions within Microsoft Azure. This role transforms complex data into business insights and drives advanced analytics using Azure Synapse Analytics, Microsoft Fabric, and Azure AI services. The key responsibilities for this position will include the following:
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 (SQL and Spark pools) and Microsoft Fabric Lakehouse.
Develop, test, and tune complex SQL and PL/SQL scripts, stored procedures, packages, and functions to support data integration.
Collaborate with business users to define analytical goals and build Power BI-ready datasets.
Integrate AI and machine learning insights using Azure Machine Learning and Azure OpenAI Service.
Enforce data governance, quality, and security via Microsoft Purview and Microsoft Entra ID.
Build cross-functional reporting, dashboards, and predictive analytics models
