Data Engineer at Experis
Ontario, Ontario, Canada -
Full Time


Start Date

Immediate

Expiry Date

29 Dec, 26

Salary

45000.0

Posted On

30 Sep, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Yes

Skills

Industry

Consumer Services

Description

About the job


  • Data Engineer (GCP / BigQuery)Canada | Contract OpportunityWe are seeking a Data Engineer to join a collaborative Agile team focused on building scalable data solutions that power analytics and AI-driven initiatives. This is an exciting opportunity to work on modern data pipelines, cloud technologies, and enterprise-scale data environments while contributing to innovative customer-focused solutions.What You'll DoDesign, develop, and maintain data pipelines and data-driven applications
  • Build and optimize solutions within Google Cloud Platform (GCP) and BigQuery environments
  • Support the movement of data from enterprise data lakes into analytics and AI platforms
  • Collaborate with cross-functional teams in an Agile environment
  • Assist in evaluating new technologies and testing innovative solutions
  • Ensure best practices for data engineering, security, quality, and performance
  • Support analytics teams by enabling reliable and accessible data solutions


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Responsibilities

About the job


  • Data Engineer (GCP / BigQuery)Canada | Contract OpportunityWe are seeking a Data Engineer to join a collaborative Agile team focused on building scalable data solutions that power analytics and AI-driven initiatives. This is an exciting opportunity to work on modern data pipelines, cloud technologies, and enterprise-scale data environments while contributing to innovative customer-focused solutions.What You'll DoDesign, develop, and maintain data pipelines and data-driven applications
  • Build and optimize solutions within Google Cloud Platform (GCP) and BigQuery environments
  • Support the movement of data from enterprise data lakes into analytics and AI platforms
  • Collaborate with cross-functional teams in an Agile environment
  • Assist in evaluating new technologies and testing innovative solutions
  • Ensure best practices for data engineering, security, quality, and performance
  • Support analytics teams by enabling reliable and accessible data solutions

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