Azure Data Engineer

Phoenix, Arizona

VDart
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Job Title: Azure Data Engineer

Location: Phoenix, AZ - Onsite

Duration: 6+ months - Contract

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 who have good technical expertise with the Microsoft BI Stack (T-SQL, SSIS). Additional skills like SAP BI or Power BI reporting are welcome.
  • As part of a collaborative team and under the supervision of a head of project, he/she will be responsible of designing and developing software products to implement new features and support current applications.
Responsibilities:
  • Create ER diagrams and write relational database queries
  • Create database objects and maintain referential integrity
  • Configure, deploy, and maintain database
  • Participate in development and maintenance of Data warehouses
  • Develop ADF pipelines making use of various activities available for data ingestion and transformation.
  • Knowledge on python scripting and use of spark API's.
  • Understanding of Azure Pass/SAAS and Azure Stream Analytics
  • Knowledge of Azure Storage Account
  • Design, develop and deploy SSIS packages
  • Creating and deploying reports
  • Provide technical design, coding assistance to the team to accomplish the project deliverables as planned/scoped.
  • Ability to talk to client and get the Business Requirements
Skills:
  • Azure Data Factory
  • Azure Databricks
  • Azure Synapse Analytics
  • Azure Functions
  • Azure Blob Storage
  • Azure Logic Apps
  • C ,.NET\SQL Server.
  • Azure synapse
  • Azure DevOps
  • Azure Storage/ Data Lake
  • Extraction, Transformation and Loading
  • Analytics development
  • Report Development
  • Relational database and SQL language

Key Skills:

Azure, Azure Data Lake, Databricks, Synapse Analytics, SQL, Power BI
Date Posted: 03 May 2025
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