Data Engineer Solutions Architect

23 hours ago


Maryland City, Maryland, United States iQuasar Full time

iQuasar LLC is a leading provider of innovative technology solutions. Salary: $120,000 - $180,000 per year.

Job Description

The ideal candidate will possess expertise in designing and implementing scalable data solutions using Azure Synapse Analytics and Microsoft Fabric. Key responsibilities include creating complex data pipelines, optimizing performance, and ensuring high availability and security within the Azure ecosystem.

  • Create and optimize data pipelines using Azure Data Factory, Synapse Analytics, and other Azure tools to extract, transform, and load data efficiently.
  • Implement and maintain Azure Data Lake solutions to store large volumes of structured and unstructured data, ensuring scalability, performance, and security.
  • Integrate data from various sources, including relational databases, NoSQL databases, APIs, and flat files, into the Azure environment for analysis and reporting.
  • Design and develop robust data architectures, optimizing for performance and scalability in Azure Synapse Analytics and Azure Data Lake environments.
  • Develop efficient ETL/ELT processes using Azure Data Factory or other Azure tools to ensure timely and accurate data loading and transformation.
  • Ensure data pipelines run smoothly by monitoring, troubleshooting, and resolving issues to minimize downtime and data inconsistencies.
  • Continuously optimize data pipelines and query performance, especially within Azure Synapse to handle large data sets and complex transformations efficiently.
  • Work closely with data scientists, analysts, and business teams to understand data requirements and deliver scalable data solutions that support analytics needs.
  • Implement and enforce security best practices, ensuring data lakes, pipelines, and analytics solutions comply with Azure security standards and data governance policies.

Required Skills and Qualifications:

  • Bachelor's degree in information systems, Computer Science, or related scientific or technical field.
  • 5+ years of experience designing and implementing data solutions and creating data pipelines at enterprise-level applications.
  • Strong knowledge of database design principles, SQL, PL/SQL, and Oracle database management systems.
  • Familiarity with data governance frameworks, ensuring data integrity, quality, and security within an enterprise context.
  • Experience with Python programming language for creating and managing data pipelines.

Benefits:

  • Competitive salary range ($120,000 - $180,000 per year).
  • Excellent training opportunities.
  • Vibrant working environment.


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