Solution Architect

TechDigital

  • Minneapolis, MN
  • 1 day ago

    Highlights

    Azure Data Services & Cloud Integration: • Develop data solutions on Azure, leveraging services such as Azure Data Factory (ADF), Azure SQL Database, Azure Data Lake, and Azure Synapse Analytics. Collaboration & Continuous Improvement: • Collaborate with cross-functional teams (Data Analysts, BI Developers, and Software Engineers) to support data-driven decision-making.

    Numbers & Facts

    LocationMinneapolis, MN
    IndustryOther/Not Classified
    Company Size100 to 499 employees

    Description

    Mandatory Skills: Azure, SQL Server, SSIS

    Data Engineering & ETL Development:
    • Design, develop, and maintain ETL (Extract, Transform, Load) processes using SQL Server Integration Services (SSIS).
    • Build and optimize data pipelines for efficient data extraction, transformation, and loading from various sources.
    • Implement incremental and full load ETL strategies to support real-time and batch data processing.
    • Ensure data integrity, data quality, and performance optimization across ETL workflows.
    Database Development & Optimization:
    • Develop and maintain SQL Server databases, stored procedures, functions, and triggers.
    • Optimize SQL queries and indexing strategies to improve database performance.
    • Implement data partitioning, indexing, and caching strategies for high-performance data processing.
    Azure Data Services & Cloud Integration:
    • Develop data solutions on Azure, leveraging services such as Azure Data Factory (ADF), Azure SQL Database, Azure Data Lake, and Azure Synapse Analytics.
    • Integrate on-premises and cloud-based data sources using Azure Hybrid Data Solutions.
    • Automate data workflows using Azure Logic Apps, Functions, and Power Automate.
    • Implement data security best practices using Azure Key Vault, encryption, and role-based access control (RBAC).
    Data Governance & Reporting:
    • Ensure compliance with data governance, security, and privacy regulations.
    • Work closely with business intelligence (BI) teams to provide data models and support analytics solutions.
    • Create and maintain documentation for data pipelines, ETL workflows, and database schemas.
    Collaboration & Continuous Improvement:
    • Collaborate with cross-functional teams (Data Analysts, BI Developers, and Software Engineers) to support data-driven decision-making.
    • Identify and implement automation strategies to improve data engineering efficiency.
    • Stay up-to-date with the latest technologies and best practices in Azure, SQL Server, and ETL development.

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