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Power BI Architect
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Power BI Architect

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1 Vacancy
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Job Location

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Calgary - Canada

Monthly Salary

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Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Req ID : 2378061

About The Company:


iLink is a Global Software Solution Provider and Systems Integrator delivers nextgeneration technology solutions to help clients solve complex business challenges improve organizational effectiveness increase business productivity realize sustainable enterprise value and transform your business insideout. iLink integrates software systems and develops custom applications components and frameworks on the latest platforms for IT departments commercial accounts application services providers (ASP) and independent software vendors (ISV). iLink solutions are used in a broad range of industries and functions including healthcare telecom government oil and gas education and life sciences. iLink s expertise includes Cloud Computing & Application Modernization Data Management & Analytics Enterprise Mobility Portal collaboration & Social Employee Engagement Embedded Systems and User Experience design etc.


What makes iLink Systems offerings unique is the fact that we use precreated frameworks designed to accelerate software development and implementation of business processes for our clients. iLink has over 60 frameworks (solution accelerators) both industryspecific and horizontal that can be easily customized and enhanced to meet your current business challenges.



Requirements

  • 10 years of progressive experience in Data Engineering & Business Intelligence ideally within consulting environment
  • 5 years of experience in designing architecture and implementing large scale BI projects within the cloud environment.
  • Expertise building enterprise data visualizations and analytics solutions in Power BI Premium would be a must
  • Proven experience with building dimensional/semantic data models using SSAS or Azure Analysis Services or Power BI Premium
  • Expertise with SQL & DAX would be a must.
  • Acknowledged for driving decisions collaboratively resolving conflicts and ensuring follow through with exceptional verbal and written communication skills.
  • Ability to orchestrate lead and influence virtual teams ensuring successful implementation of data & analytics projects.
  • Proven track record of building deep technical relationships with senior IT executives in large or highly strategic accounts.
  • Experience with Python and Spark would be a nice to have.
  • Experience building data pipelines using Azure Data Factory and Azure Databricks would be nice to have.
  • Experience with realtime data processing (using Kafka/Event Hubs) would be nice to have


Benefits

  • Competitive salaries
  • Medical Dental Vision Insurance
  • Disability Life & AD&D Insurance
  • 401K With Generous Company Match
  • Paid Vacation and Personal Leave
  • PrePaid Commute Options
  • Employee Referral Bonuses
  • Performance Based Bonuses
  • Flexible Work Options & Fun Culture
  • Continuing Education Reimbursements
  • InHouse Technology Training


10+ years of progressive experience in Data Engineering & Business Intelligence, ideally within consulting environment 5+ years of experience in designing, architecture and implementing large scale BI projects within the cloud environment. Expertise building enterprise data visualizations and analytics solutions in Power BI Premium would be a must Proven experience with building dimensional/semantic data models using SSAS or Azure Analysis Services or Power BI Premium Expertise with SQL & DAX would be a must. Acknowledged for driving decisions collaboratively, resolving conflicts and ensuring follow through with exceptional verbal and written communication skills. Ability to orchestrate, lead, and influence virtual teams, ensuring successful implementation of data & analytics projects. Proven track record of building deep technical relationships with senior IT executives in large or highly strategic accounts. Experience with Python and Spark would be a nice to have. Experience building data pipelines using Azure Data Factory and Azure Data-bricks would be nice to have. Experience with real-time data processing (using Kafka/Event Hubs) would be nice to have

Employment Type

Full Time

About Company

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