Data Scientist- Mid Level (Onsite)

Serigor • Raleigh, NC

4d • Onsite

About The Position

The role is listed as Data Scientist – Mid Level (Onsite), although the job description says the client needs a Senior Data Analyst. The position will design, manage, and optimize enterprise data pipelines, data warehouses, and analytics solutions within Microsoft Azure. It will transform complex data into business insights and support advanced analytics using Azure Synapse Analytics, Microsoft Fabric, and Azure AI services.

The engagement is listed as 12 months with a possible extension. The work location is Raleigh, North Carolina.

Requirements

• 7 years of experience in enterprise data analytics, engineering, and designing complex ETL workflows.
• 4 years of expertise in Azure Synapse Analytics, Azure Data Factory, and cloud data warehousing.
• 7 years of advanced SQL and PL/SQL skills, including query optimization, performance tuning, and indexing strategies.
• 6 years of hands-on experience with PySpark, Python, or Scala.
• 4 years of experience with data modeling, performance tuning, and cost optimization in Azure.
• 3 years of strong knowledge of Microsoft Entra ID, role-based access control (RBAC), and cloud security.
• 3 years of familiarity with Power BI semantic models and dataflows.
• Ability to organize, prioritize, and follow complex and/or detailed technical procedures; 7 years stated.
• 3 years of experience with Agile development (Scrum, Kanban, or SAFe).

Nice To Haves

• 3 years of knowledge of Azure OpenAI or generative AI data integration (highly desired).

Responsibilities

• Design, build, and maintain 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 for 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 using Microsoft Purview and Microsoft Entra ID.
• Build cross-functional reporting, dashboards, and predictive analytics models.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed