10 дней назад
Manager, Data Analytics - Engineering & Platform (GCP/BigQuery)
91 900 - 126 390CAD
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Manager, Data Analytics - Engineering & Platform (GCP/BigQuery): Managing and optimizing a GCP/BigQuery data platform for reliable reporting and consumption datasets with an accent on data modeling, governance, query performance, and cost optimization. Focus on designing ETL/ELT pipelines, introducing automation, improving self-service reporting, and presenting data-driven recommendations to senior stakeholders.
Location: Mississauga, Ontario, Canada; primary location at 1940 Argentia Rd, Mississauga, ON. This is a full-time, in-person position.
Salary: CAD 91,900–126,390 per year, determined based on relevant experience.
Company
supports data-driven retail and advertising initiatives through analytics, reporting, and technology platforms.
What you will do
- Own and manage the GCP/BigQuery data platform for reporting and consumption datasets.
- Design, optimize, and govern reliable, high-quality, and performant data assets.
- Develop data standards, dimensional models, consumption layers, and ETL/ELT pipelines.
- Improve query performance, BigQuery cost efficiency, reporting infrastructure, and automation.
- Enable self-service reporting, support other departments, and maintain analytics-tool vendor relationships.
- Collaborate across business units and present data-driven recommendations to senior leaders and stakeholders.
Requirements
- Expertise in GCP and BigQuery architecture.
- Experience with data modeling, including dimensional and consumption-layer design.
- Experience developing ETL/ELT pipelines.
- Strong SQL and query performance optimization skills.
- Knowledge of BigQuery cost optimization, resource management, data governance, and cloud-native data engineering practices.
- Leadership skills including coaching, mentoring, cross-functional collaboration, communication, and continuous improvement.
Culture & Benefits
- Leadership expectations emphasize respect, inclusion, integrity, customer focus, and excellence.
- Support for talent development through feedback, coaching, mentoring, and developmental opportunities.
- Focus on collaborative relationships, ethical conduct, continuous improvement, innovation, and learning from mistakes.
- Disability-related accommodation is available as required by law.
- Artificial intelligence-powered tools may be used for resume screening, interviews, and other candidate evaluations.
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