GCP Data Engineer

Role : GCP Data Engineer

Pay Rate:  $50 CAD per hour INC
Duration:  6 month contract initially, plus possible extension options
Location:  Toronto, ON
Working Structure:  Hybrid 2-3 days per week in office 

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We have a great new opportunity to support one of our Retail clients in a contract capacity!

Please see below for more information on the position and if interested apply with an updated resume aligned to the needs of the role.

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Key Responsibilities:
• Design, develop, and maintain scalable data pipelines and ETL processes for structured and
unstructured data.
• Build and optimise tables and views for dashboards and self-service analytics.
• Gather and translate business requirements into efficient data transformations.
• Collaborate with business teams, data analysts, and technology partners to deliver reliable data
solutions.
• Ensure data quality, governance, and performance across large datasets.
• Leverage Google BigQuery, Python, GBQ stored procedures, and retail domain expertise to
develop robust solutions.
• Automate processes and implement strategies to improve data quality across the customer
experience.
• Aggregate and prepare data for reporting, dashboards, and scorecards.
• Provide data extraction and actionable insights to internal teams and respond to ad hoc analysis
requests.
• Drive continuous improvement by identifying process efficiencies and adopting modern data
engineering tools and frameworks.
• Effectively convey complex technical information to stakeholders with a business-oriented
background, ensuring clarity and alignment with organisational objectives.
• Familiarity with clickstream data and its applications is beneficial.
Competencies:
• Data engineering: designing and maintaining scalable data pipelines and ETL processes
• Technical skills: proficiency in SQL, Python, Google BigQuery, GCP Dataflow, Pub/Sub, PySpark,
Airflow, Vertex AI, Iceberg, Starrocks, Applied AI/ML experience; familiarity with cloud platforms
(GCP)
• Business acumen: understanding of retail domain and ability to translate business requirements
into data solutions

Experience Required
• Collaboration: strong communication skills and ability to work effectively with cross-functional
teams
• Problem-solving: analytical mindset with focus on process optimisation and automation
• Data quality: commitment to accuracy, governance, and performance across large datasets
Skills
• Strong analytical and problem-solving abilities
• Proficiency in data analysis and data engineering concepts
• Excellent organisational and time management skills
• Effective interpersonal and communication skills for cross-functional collaboration
• Ability to manage projects and adapt to change in a fast-paced environment
 

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CorGTA is an equal opportunity employer, please apply with an updated resume and ensure the required skills you are able to speak to for this position are included.

At times, CorGTA or its client partners may utilize AI tools to assist with the hiring processes.

 

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