Job description

Exciting long term opportunity to be part of a leading enterprise organization. We are looking for a strong Data Engineer.

The Data Engineer is responsible for the development of highly scalable ETL and data flow applications adhering to software development best practices. This position requires advanced SQL scripting who understands data visualization. You will design Data Warehouses in modern column-oriented database systems and develop data reporting solutions.


Work within a large enterprise environment and a great technical team who are like minded. You will will be part of the IT Analytics team and will work closely with Architects, Scrum master, other members of the team and the business partners in a highly collaborative environment.

  • Develop ETL processes delivering high-quality code, following coding best practices.
  • Create and implement complex analytical data models that support reporting and analytics business requirements.
  • Prepare test scripts and perform functional unit, integration, and regression testing. Coordinate and drive user acceptance testing
  • Support and troubleshoot issues/bugs in data pipeline and SQLs for analytics
  • Analyze the use of data, design and create data marts based on requirements.
  • Design and build reporting solutions.
  • Experiment with new/emerging technologies in the space and conduct POCs
  • Work with Functional/Business resources on day-to-day basis to understand business requirements and processes.
  • Work with Technical Lead/Architects to identify solutions/designs based on business requirements provided.
  • Provide status reports to Manager/Leads during task execution
  • Follow IT standards to deploy code to production environments

  • 5-8 Experience in Data Engineering development and best practices.
  • Experience in Data completeness and accuracy checks and setup.
  • Accomplished expert SQL Skills to include data management, mining, and modeling
  • Advanced SQL knowledge, database, and data modeling knowledge are a must.
  • Strong business acumen, understanding of data and information.
  • Experience in Google Cloud Platform especially at BigQuery, Airflow, pubsub, and dataflow are preferred.
  • Excellent communication skills
  • Demonstrated ability to write technical documents.
  • Ability to communicate issues and recommend solutions in a timely manner to Management.
  • Retail experience will be considered an asset.
  • Ability to adapt quickly to new technologies and development practices
  • Experience with a variety of database platforms and technologies.


If you feel this role is what you are looking for, then don't hesitate to apply to for immediate consideration.

Good luck

Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.

Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to to ensure their ability to fully participate in the interview process.

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