Category: Analytics and Emerging Digital Technologies
Main location: Canada, Quebec, Montréal
Position ID: J0825-1141
Employment Type: Full Time

POSITION 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

Use of the term ‘engineering’ in this job posting refers to the technical sense related to Information Technology (IT) and does not imply that the individual practices engineering or possesses the requisite license as prescribed by the applicable provincial or territorial engineering regulator. We are seeking individuals with expertise in IT engineering-related functions, but licensure from an engineering regulator is not a prerequisite for this position. Engineering is a regulated profession in Canada which is restricted in terms of use of titles and designation.

SKILLS:

• English
• French

• 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