Senior Data Analyst - Hybrid - In Person Interview

***Mode of Intervew :- In Person Interview *** Very long term project (initial PO for 1 year, expect to go for 4+ years) Hybrid (3Days per week Onsite) at Raleigh-NCCloud services Certification is Mandatory ***

Job Description:-

The client 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.

Key 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 (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.

Skills/Requirements

Skill Required Years

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