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Senior Data Analyst Azure (812170)

Argyll Info Tech Inc.,
Raleigh, NC, United States
2 days ago
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Role details

Contract type
Temporary to permanent
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
3 years minimum
Working hours
Regular working hours
Job source
www.careerbuilder.com

Tech stack

Agile Methodology Artificial Intelligence Business Analytics Applications Data Analysis Microsoft Azure Cloud Computing Cloud Computing Security Databases Data as a Services Data Architecture Information Engineering Data Governance
+25 more
Data Integration Extract Transform Load (ETL) Data Warehousing Python (Programming Language) Machine Learning Performance Tuning Scrum Methodology Query Optimization Role-Based Access Control Power BI OpenAI Azure Active Directory Azure Machine Learning SQL Stored Procedures PL-SQL SQL Databases Azure Data Factory Sql Optimization Generative AI Indexer Microsoft Fabric Pyspark Data Management Azure Synapse Analytics Data Pipelines

Job description

Seeking an experienced Senior Data Analyst with strong expertise in Microsoft Azure data services, enterprise data engineering, and advanced analytics. The candidate will design and optimize data pipelines, data warehouses, and analytics solutions while transforming complex data into actionable business insights., * Design, develop, and maintain enterprise ETL/ELT pipelines using Azure Data Factory, Synapse Pipelines, and PL/SQL.

  • Manage and optimize Azure Synapse Analytics and Microsoft Fabric Lakehouse.
  • Develop and tune complex SQL/PLSQL scripts, stored procedures, packages, and functions.
  • Build Power BI-ready datasets, dashboards, and predictive analytics solutions.
  • Integrate AI/ML capabilities using Azure Machine Learning and Azure OpenAI.
  • Implement data governance, quality, and security using Microsoft Purview and Entra ID.
  • Collaborate with business stakeholders to translate analytical requirements into technical solutions.

Requirements

Data Analysis, Microsoft Windows Azure, Data Management, Data Warehousing, Data Analysis, Database Extract Transform and Load (ETL), Microsoft Windows Azure, Cloud Computing, Performance Tuning/Optimization, Query Optimization, * 7+ years of experience in enterprise data analytics, data engineering, and complex ETL workflows.

  • 4+ years of experience with Azure Synapse Analytics, Azure Data Factory (ADF), and cloud data warehousing.
  • 7+ years of advanced SQL and PL/SQL, including query optimization, performance tuning, and indexing.
  • 6+ years of hands-on experience with PySpark, Python, or Scala.
  • 4+ years of experience in Azure data modeling, performance tuning, and cost optimization.
  • 3+ years of experience with Microsoft Entra ID, RBAC, and cloud security.
  • 3+ years of experience with Power BI semantic models and dataflows.
  • 3+ years of Agile development experience (Scrum, Kanban, or SAFe).

Highly Desired Skills

  • 3+ years of experience with Azure OpenAI or Generative AI data integration.
  • Knowledge of Microsoft Fabric, Lakehouse architecture, Azure Machine Learning, and Microsoft Purview.

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