Demo

Data Engineer (Microsoft Stack)

STEM Search Group
Greenville, SC Full Time
POSTED ON 3/1/2025
AVAILABLE BEFORE 5/25/2025

What you'll do...

  • Data Architecture Design : Develop and maintain a scalable, efficient, and secure data architecture utilizing Azure services, SQL Server, Dynamics 365, and Power Platform.
  • Data Modeling : Create and maintain conceptual, logical, and physical data models, ensuring they align with the overall data strategy and business requirements.
  • Integration Solutions : Design and implement data integration solutions, leveraging Azure Data Factory, Logic Apps, and Power Automate to ensure seamless data flow across systems.
  • Database Management : Provide recommendations for database design, performance tuning, and optimization for SQL Server and Azure SQL Database environments.
  • Data Governance : Establish and enforce data governance policies to ensure data quality, consistency, and security across all data systems.
  • Collaboration : Work closely with cross-functional teams to understand data requirements and deliver effective solutions.
  • Documentation : Create comprehensive documentation for data architecture, including design specifications, data dictionaries, and operational procedures.
  • Innovation : Stay current with industry trends and best practices in data architecture and recommend improvements to enhance data management capabilities.

What we're looking for...

  • Proven experience as a Data Architect / Data Engineer, with a strong focus on the Microsoft technology stack.
  • Deep expertise in Azure services, including Azure SQL Database, Azure Data Lake, and Azure Data Factory.
  • Proficiency in SQL Server, including performance tuning, indexing strategies, and query optimization.
  • Familiarity with Dynamics 365 and Power Platform, including Power BI, Power Apps, and Power Automate.
  • Strong understanding of data governance frameworks and best practices.
  • Excellent analytical and problem-solving skills, with the ability to communicate complex concepts to non-technical stakeholders.
  • Experience with data modeling tools and methodologies.
  • Bachelor's degree in Computer Science, IT, or a related field.
  • Relevant certifications in Azure Data Services or similar technologies are a plus.
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