Advanced Analytics Data Engineer

About

As an Advanced Analytics Data Engineer, you will be part of a project focused on business-as-usual (BAU) operations within Global Asset Management. The role involves contributing to technology modernization and AWS migration efforts to enhance analytics and reporting capabilities.

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.

Mandatory Skills

• 5+ years of experience in Data Engineering and ETL development.
• 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 Skills

• 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).

Assignment Details

• Assignment Length: This is a 1-year contract position with the possibility of extension or conversion to full-time employment.
• Start Date: ASAP.
• Assignment Location: Brampton, Ontario, Canada with a hybrid work arrangement requiring 2 days in the office.