Data Engineer at CGI
Montréal, QC, Canada -
Full Time


Start Date

Immediate

Expiry Date

27 Nov, 25

Salary

0.0

Posted On

27 Aug, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Good communication skills

Industry

Information Technology/IT

Description

The client is looking for a Data Engineer to join our team and bring the analytics practice to the next level. We are looking for a motivated person who thrives in a dynamic and challenging environment, who loves working with tools on the edge, who has no problem switching between multiple programming languages, and who can find out-of-the-box solutions to solve complex problems. In this role, you will be at the heart of the definition and implementation of world-class analytics solutions, and you will contribute to setting data as a strategic advantage for the client.

Responsibilities

  • Design, develop, implement and support robust ETL/ELT/Data Pipelining solutions
  • Coordinate with multiple development teams to achieve delivery objectives
  • Provide support in requirements definition, estimation, development and delivery of robust and scalable solutions
  • Development and support of real-time data ingestion processes from various data sources
  • Development and support of data models optimized for business intelligence usage
  • Build integrations with APIs from external providers such as Google, Facebook, Salesforce, SAP and others
  • Adhering to industry standards and laws such as GDPR and SOX
  • Be a leader in best-practices definition and creative thinking

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Responsibilities

Responsibilities

  • Design, develop, implement and support robust ETL/ELT/Data Pipelining solutions
  • Coordinate with multiple development teams to achieve delivery objectives
  • Provide support in requirements definition, estimation, development and delivery of robust and scalable solutions
  • Development and support of real-time data ingestion processes from various data sources
  • Development and support of data models optimized for business intelligence usage
  • Build integrations with APIs from external providers such as Google, Facebook, Salesforce, SAP and others
  • Adhering to industry standards and laws such as GDPR and SOX
  • Be a leader in best-practices definition and creative thinkin
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