Big Data Engineer
TMX GroupToronto, Ontario, Canada
Posted March 4, 2026
100000 - 120000 CAD
Full Time
About the Company
At TMX Group, we build world-class markets to enable businesses and investors to succeed and help communities thrive. Powered by our people, TMX has the means to bring inspired ideas to life, and to unlock human potential. We believe better markets serve as a propulsive engine, creating opportunities for bold and ambitious ideas to create a brighter future. With offices in some of the worldâs most multicultural cities, we proudly celebrate diversity, learn from one another, and cultivate true belonging in a Hybrid-First work environment. We are a global team, connected across multiple industries, and united by a common Purpose: To Make Markets Better and Empower Bold Ideas. Our Mission We power capital and commodity markets with client-centric, technology-driven global solutions. Our Vision To be an indispensable solution for companies around the world to raise capital and the preferred destination for traders and investors to prosper. TMX Group companies includes: Toronto Stock Exchange, TSX Venture Exchange, TSX Trust, MontrĂ©al Exchange, TSX Alpha Exchange, Shorcan, CDCC, CDS, TMX Datalinx, TMX Insights and Trayport.
Job Description
We are looking for a seasoned Big Data Engineer to join our growing team of Enterprise Data and Advanced Analytics Platform. The ideal candidate is an expert data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up.
Requirements
- Design and maintain robust and efficient data pipeline architecture.
- Construct large, complex data sets to fulfill all functional and non-functional business requirements.
- Identify, design, and implement continuous internal process improvements.
- Manage and administer a wide range of AWS services, such as S3, RDS, EC2, EMR, VPC, Security Groups, CloudFormation, CloudWatch, Managed Airflow, and Simple Notification Services (SNS).
- Possess experience working with both bulk and streaming data, focusing on ingestion, transformation, and secure storage in cloud-based systems.
- Develop the necessary infrastructure for optimal Extract, Transform, Load (ETL) operations from various data sources utilizing SQL and AWS âbig dataâ technologies.
- Adhere to established development best practices, including meticulous code management, branching, and merging within a GIT repository.
- Be available for on-call support and off-business hours support on a rotational basis.
Benefits
- Generous time-off and leaves
- Wellness programs
- Flexible work schedule
- Professional development opportunities
