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Azure Data Engineer

Job in Phoenix, Maricopa County, Arizona, 85003, USA
Listing for: TechDigital Group
Full Time position
Listed on 2025-11-25
Job specializations:
  • IT/Tech
    Data Engineer, Azure, Data Analyst
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

Azure Data Engineer Job Description

The Azure Data Engineer is responsible for building, implementing, and supporting Microsoft BI solutions to meet market and/or client requirements.

They apply knowledge of technologies, applications, methodologies, processes, and tools to support a client, project, or entity.

We are currently looking for programmers or experienced programmers with strong technical expertise in the Microsoft BI Stack (T-SQL, SSIS). Additional skills such as SAP BI or Power BI reporting are a plus.

As part of a collaborative team, and under the supervision of a project lead, the candidate will be responsible for designing and developing software products to implement new features and support existing applications.

Responsibilities:
  • Create ER diagrams and write relational database queries
  • Create database objects and maintain referential integrity
  • Configure, deploy, and maintain databases
  • Participate in the development and maintenance of Data Warehouses
  • Develop ADF pipelines utilizing various activities for data ingestion and transformation
  • Apply knowledge of Python scripting and Spark APIs
  • Understand Azure Pass/SAAS and Azure Stream Analytics
  • Knowledge of Azure Storage Account
  • Design, develop, and deploy SSIS packages
  • Create and deploy reports
  • Provide technical design and coding support to the team to meet project deliverables
  • Communicate with clients to gather business requirements
Skills:
  • Azure Data Factory
  • Azure Databricks
  • Azure Synapse Analytics
  • Azure Functions
  • Azure Blob Storage
  • Azure Logic Apps
  • C# and .NET, SQL Server
  • Azure Synapse
  • Azure Dev Ops
  • Azure Storage/Data Lake
  • ETL processes
  • Analytics development
  • Report development
  • Relational databases and SQL language
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