Data Engineer

Greenville, South Carolina

STEM Search Group
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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.
Date Posted: 22 April 2025
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