Azure & Power BI Data Engineer

at  Procom

Toronto, ON, Canada -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate28 Nov, 2024Not Specified29 Aug, 20242 year(s) or aboveInterpersonal Skills,Budgeting,Sql,Sql Server,Modeling,Architecture,Power Bi,Dax,Reporting,Transformation,Infrastructure,Security,It Operations,Business Continuity,Communication Skills,Apps,Pipeline Construction,Data Models,Data WarehouseNoNo
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Description:

A BIT ABOUT US!

Procom Labs is building a world-class digital ecosystem of products to find, employ and manage the contingent workforce of today and tomorrow. Our products offer end-to-end solutions in Recruiting Technologies, Workforce Management, and Back-Office Processing. We are a group of people that love to try out creative and sometimes crazy solutions to solve complex problems. We want you to join us in our journey. You can find out more about our mission and products at https://procomservices.com/procom-labs/

QUALIFICATIONS

Azure: 2 - 5 years (Required

Responsibilities:

In collaboration with the Business Intelligence (BI) Manager, the Data Engineer will undertake the responsibility of executing and managing Azure Data Factory Pipelines. This includes the design and implementation of the Data Lake, as well as the optimization of data refresh performance.
The role encompasses ownership (both execution and management) of Extract, Transform, Load (ETL) processes, Azure Data Lake, and Data Warehouse. Additionally, the Data Engineer will oversee the Power BI Semantic Data Model, ensuring its efficient operation and maintenance. This position requires a strong understanding of data architecture and cloud-based data services, particularly within the Microsoft Azure platform. The individual will play a critical role in the organization’s data strategy and its implementation.

What You’ll Do:

  • Develop and implement data using Azure cloud management solutions.
  • Design and Develop Power BI Semantic models and custom reporting
  • Design and Develop Star Schema for Power BI Data Models.
  • Design and manage data storage and data processing solutions in Azure.
  • Integrate data sources and build data pipelines for data transformation and ingestion.
  • Implement data security and governance measures in Azure.
  • Design, implement, and maintain data pipelines for data ingestion, processing, and transformation in Azure.
  • Work together with data scientists and analysts to understand the needs for data and create effective data workflows.
  • Create and maintain data storage solutions including Azure SQL Database, Azure Data Lake, and Azure Blob Storage.


REQUIREMENT SUMMARY

Min:2.0Max:5.0 year(s)

Information Technology/IT

IT Software - DBA / Datawarehousing

Software Engineering

Graduate

Proficient

1

Toronto, ON, Canada