Esolutionsfirst - McLean, VA

posted 3 months ago

Full-time - Mid Level
McLean, VA
Administrative and Support Services

About the position

The Azure Data Engineer position at McLean, VA, is a 12-month contract role that may extend or lead to a permanent hire. The primary focus of this role is to leverage Azure Data Factory (ADF) for efficient and scalable data orchestration, which is critical for supporting reporting and analytics data products. The ideal candidate will have a strong background in Azure cloud technologies, particularly in Azure Data Factory, SQL, and DBT (Data Build Tool). This position requires the creation of new data pipelines and the development of reusable components that can be utilized at scale. In this role, the Data Engineer will implement data transformation logic using DBT, ensuring streamlined data processing that aligns with business requirements and industry best practices. The candidate will also be responsible for developing and maintaining data models, demonstrating a strong proficiency in SQL and data modeling concepts. The position is specifically looking for individuals with 5 to 7 years of experience in data engineering, particularly with a focus on Azure technologies. Candidates must be local to McLean, VA, as this role may require in-person collaboration and meetings. The job description has been reviewed for accuracy, and it reflects the expectations and responsibilities associated with this opportunity.

Responsibilities

  • Utilize Azure Data Factory (ADF) for efficient and scalable data orchestration.
  • Create new pipelines and build reusable components at scale to support reporting & analytics data products.
  • Implement data transformation logic using DBT (Data Build Tool) for streamlined data processing.
  • Develop and maintain data models that align with business requirements and industry best practices.

Requirements

  • 5-7 years of experience as a Data Engineer with a focus on Azure cloud technologies.
  • Strong proficiency in Azure Data Factory, SQL, and DBT.
  • In-depth knowledge of data modeling concepts and best practices.
  • Proven experience in creating and managing data pipelines.
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