Lead Data Engineer: Wealth Analytics on Google Cloud in Toronto

Lead Data Engineer: Wealth Analytics on Google Cloud in Toronto

Toronto Full-Time 121500 - 148500 $ / year (est.) On-site
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At a Glance

  • Tasks: Lead data-driven solutions on Google Cloud and optimize data pipelines.
  • Company: Join Scotiabank’s innovative Wealth Data Engineering team in Toronto.
  • Benefits: Competitive salary, health benefits, and opportunities for professional growth.
  • Other info: Dynamic work environment with a focus on collaboration and innovation.
  • Why this job: Make a real impact by leading QA initiatives and ensuring data integrity.
  • Qualifications: Strong data analysis experience and knowledge of the wealth domain.

The predicted salary is between 121500 - 148500 $ per year.

Scotiabank’s Wealth Data Engineering team in Toronto is seeking a Lead Data Analyst to design and implement data-driven solutions on Google Cloud, working with the enterprise data team and data architects to meet stakeholder needs.

You will lead QA initiatives, develop automated tests, optimize data pipelines, and ensure data integrity across lines of business.

Strong data analysis experience and wealth domain knowledge are highly valued.

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Lead Data Engineer: Wealth Analytics on Google Cloud in Toronto employer: Scotiabank

Scotiabank is an exceptional employer that fosters a purpose-driven and inclusive culture, making it an ideal place for professionals seeking to excel in the financial services industry. With a strong focus on employee growth, you will have access to comprehensive training and development opportunities while working alongside senior leadership in a collaborative environment. Located in vibrant cities like Calgary and Vancouver, you will enjoy a dynamic work-life balance and the chance to make a meaningful impact on ultra-high net worth clients across Canada and internationally.

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Contact Details:

Scotiabank Recruitment Team

We think you need these skills to ace Lead Data Engineer: Wealth Analytics on Google Cloud in Toronto

Data Analysis
Google Cloud
Data Pipeline Optimization
Quality Assurance (QA)
Automated Testing
Data Integrity Management
Stakeholder Engagement