Azure Data Engineer

Compunnel, Inc.

Washington (District of Columbia)

On-site

USD 100,000 - 130,000

Full time

14 days+

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Job summary

A leading data solutions provider is seeking a strong Azure Data Engineer with expertise in Azure Data Factory, Azure Databricks, DBT, and Python. Responsibilities include designing and maintaining scalable data pipelines and supporting analytics needs. The ideal candidate should have experience with large datasets and optimizing data processing solutions in the cloud. This position is based in Washington, D.C. and promises an engaging environment for data professionals.

Qualifications

  • Strong experience with Azure Data Factory, Azure Databricks, DBT, and Python.
  • Experience with large datasets and data analytics.

Responsibilities

  • Design, develop, and maintain scalable data pipelines using Azure Data Factory (ADF).
  • Build and manage data transformation workflows using DBT.
  • Develop and optimize data processing solutions using Azure Databricks.
  • Collaborate with data architects, analysts, and BI teams.

Skills

Azure Data Factory
Azure Databricks
DBT
Python
Data analytics

Job description

Note: Need Strong Azure Data Engineer with ADF (Azure Data Factory), Azure Databricks, DBT(Data Build Tool) and Python.

Responsibilities
  • Design, develop, and maintain scalable data pipelines using Azure Data Factory (ADF).
  • Build and manage data transformation workflows using DBT (Data Build Tool).
  • Develop and optimize data processing solutions using Azure Databricks.
  • Work with large datasets to support data analytics and reporting needs.
  • Ensure data quality, reliability, and performance optimization across data pipelines.
  • Collaborate with data architects, analysts, and BI teams to deliver data solutions.
  • Experience working in Azure cloud-based data platforms is preferred.
Qualifications
  • Strong experience with Azure Data Factory, Azure Databricks, DBT, and Python.
  • Experience with large datasets and data analytics.
  • Nice-to-have Azure cloud-based data platforms experience.
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