Job Description
Are you passionate about building scalable data solutions? Apply Now!
Working with one of our top financial clients, this role calls for an Advanced Analytics Senior Data Engineer. In this position, you will design, develop, and optimize complex data pipelines and systems to support analytics and business intelligence initiatives. This is an exciting opportunity to work within a collaborative team and gain exposure to modern cloud technologies in the asset management industry.
Pay rate range (CAD): $73.91/hr – $88.70/hr
Responsibilities
Design and develop scalable data pipelines and ETL processes to facilitate data integration and quality
Build and maintain data models, data warehouses, and analytics infrastructure
Collaborate closely with data analysts, BI engineers, and business stakeholders to deliver effective analytic solutions
Lead technology modernization initiatives, including migration to cloud platforms
Optimize data systems for performance, reliability, and security in cloud and on-premise environments
Ensure compliance with data governance and security standards
Desired Skill-Set
5+ years of experience in Data Engineering, ETL development, and data architecture
Strong proficiency in Python and SQL for data processing and automation tasks
Solid understanding of data modeling, data warehousing, and analytics concepts
Experience with AWS data services such as SageMaker, AWS Unified Studio, or comparable tools
Proven track record of leading modernization and migration projects
Excellent problem-solving, communication, and teamwork skills
Nice to Have
Experience with SAS and WebFOCUS for reporting and advanced analytics
Exposure to machine learning workflows and data science integration on AWS
Knowledge of data governance, security, and compliance in cloud environments
Familiarity with CI/CD pipelines tailored for data engineering
Hands-on experience with cloud-based data platforms, particularly AWS
Prior experience working in the banking or financial services industry
