SENIOR DATA ENGINEERING DEVELOPER

At Interac, we design and deliver products and solutions that give Canadians control over their money so they can get more out of life. But that’s not all. Whether we’re leading real-time money movement, driving innovative commerce solutions like open payments for transit systems, or making advancements in new areas like verification and open banking, we are playing a key role in shaping the future of the digital economy in Canada.
Want to make a lasting impact amongst a community of creative thinkers, problem solvers, technical virtuosos, and high-performance developers? We want to hear from you.
The Senior Data Engineering Developer will be responsible for designing, developing, and supporting the implementation of high-quality and sustainable data fulfillment solutions to improve business outcomes. You’ll work with several teams to develop and maintain data pipelines to improve workflows and automate processes wherever possible.

• Designing, developing, implementing, and monitoring highly scalable processes to ingest and process high volume transactions while ensuring high performance and quality.
• Collaborating with various teams to translate business and analytics requirements into a data fulfillment strategy including building data pipelines, data aggregations, infrastructure and tooling to support business initiatives.
• Overseeing the design and maintenance of data pipelines and contributing to the continual enhancement of the data engineering architecture.
• Working with other developers, engineers, data scientists, and business stakeholders to continuously explore new capabilities and technologies to drive innovation.
• Collaborating with the team to meet performance, scalability, and reliability goals.
• Developing standards for data processes and automating routine tasks while ensuring the timing of automatic jobs do not conflict with application processes.
• Writing out tests and thorough documentation for processes and tooling.
• Supporting data transformation testing and production implementation as required.
• Adapting to working with new technologies and frameworks, sometimes headlining the investigation into their usefulness to the team.
• Supporting the team with problem analysis and resolution.
• Maintaining and expanding existing systems, tooling, and infrastructure.
• Management and proactive monitoring of data flows ensuring data integrity and performance.
• Participating in rotating on-call support.
• Mentoring and coaching a talented team of engineers to maintain best practices in data engineering.