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Advanced Analytics Senior Data Engineer
Spectraforce
Brampton, Ontario

3 hours ago

Job Description

Position Title: Advanced Analytics Senior Data Engineer
Duration: 1 year (Possibility of Extension/Conversion into FTE)
Working hours: Mon-Fri 9AM-5PM
Working Location: Toronto, ON M5X 1A1 (3 days in office-Tues, Wed & Thur)
 
About Bank’s Global Asset Management
Bank’s Global Asset Management (Bank’s GAM) is part of Bank’s Financial Group, backed by a 200-year legacy of trust and innovation. With over $221 billion in assets under management and a diverse suite of investment solutions—including mutual funds, ETFs, and alternative investments—Bank’s GAM is committed to delivering agile, visionary strategies for institutional, retail, and high-net-worth clients. Our mission is to boldly grow the good in business and life, combining traditional investment wisdom with cutting-edge technology and sustainable practices.
 
Role Description:
As a Senior Data Engineer, you will design, develop, and optimize data systems and pipelines to support the Bank’s GAM’s analytics and reporting capabilities. You will work closely with data analysts, BI engineers, and business stakeholders to ensure efficient data flow and enable data-driven decision-making.
 
Key Responsibilities:
  • Design and implement scalable data pipelines and ETL processes.
  • Develop and maintain data models and data warehouse infrastructure.
  • Collaborate with cross-functional teams to deliver analytic solutions.
  • Drive technology modernization and migration projects to modern platforms.
  • Optimize performance and reliability of data systems in cloud and on-prem environments.
 
Must Have:
  • 5+ years of experience in Data Engineering and ETL development.
  • Bachelor’s degree in Computer Science, Engineering, or a related field.
  • Strong proficiency in Python and SQL for data processing and automation.
  • Solid understanding of Data Modeling, Data Warehousing, and Analytics concepts.
  • Familiarity with AWS tools such as SageMaker, AWS Unified Studio, and other data services is highly desirable.
  • Proven experience in tech modernization/migration projects.
  • Strong problem-solving, communication, and collaboration skills.
 
Nice to Have:
  • Experience with SAS and WebFOCUS for advanced analytics and reporting.
  • Exposure to machine learning workflows and data science integration using AWS SageMaker.
  • Knowledge of data governance, security, and compliance in cloud environments.
  • Familiarity with CI/CD pipelines for data engineering solutions.
  • Hands-on experience with cloud-based data platforms (AWS preferred).
  • Banking Industry
 
Disqualifiers:
  • Must have 3 to 5 yrs with Python & SQL.
 
Applicant Notices & Disclaimers
  • For information on benefits, equal opportunity employment, and location-specific applicant notices, click here
 
At SPECTRAFORCE, we are committed to maintaining a workplace that ensures fair compensation and wage transparency in adherence with all applicable state and local laws. This position’s starting pay is: $ 63.98/daily.

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