CorGTA - 35 Jobs
Toronto, ON
Posted today
Job Details:
Remote
$50.00 / hour
Full-time
Experienced
Role: GCP Data EngineerPay 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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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
ExperienceRequired
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
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.
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
ExperienceRequired
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 itsclient partners may utilize AI tools to assist with the hiring processes.
By submitting your application, you consent to be contacted by CorGTA via email, SMS, or phone regarding current and future opportunities, and acknowledge our collection and use of your personal information in accordance with our Privacy Policy and Terms of Service:www.corgta.com/privacy-policy
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Frequently Asked Questions
The role pays $50.00 per hour on a 6-month contract initially, with possible extension options.
This position is based in Toronto, ON with a hybrid schedule of 2-3 days per week in the office.
Proficiency in SQL, Python, Google BigQuery, GCP Dataflow, Pub/Sub, PySpark, Airflow, Vertex AI, Iceberg, Starrocks, and Applied AI/ML experience, plus familiarity with GCP.
Design, develop, and maintain scalable data pipelines and ETL processes; build and optimise tables and views for dashboards; ensure data quality and governance; collaborate with teams to deliver data solutions and respond to ad hoc requests.
Familiarity with clickstream data is beneficial, and there is emphasis on retail domain understanding to translate business requirements into data solutions.
The role requires collaborating with business teams, data analysts, and technology partners, and effectively conveying complex technical information to stakeholders.
Apply with an updated resume aligned to the needs of the role, ensuring the required skills you can speak to are included.
