Data Engineer

This role can be based remotely in the Greater Toronto Area, Ontario, Canada. 

Are you ready to open a world of opportunity in talent mobility? Our clients include some of the largest and most recognized brands in the world. They’re innovators and leaders in their industries, making life-enhancing breakthroughs every day. We help them tap into those opportunities by placing their exceptional people where they need to be, anywhere in the world. When it comes to service, we set the bar for exceptional … and then we raise it with fresh ideas, leading tools and innovative approaches, and it’s all grounded in our values of truth, love, and integrity. We call it People-first Mobility. We’re looking for exceptional people who share those values along with our passion for delivering the highest levels of service. If that sounds like you, and if you’re ready for a new career opportunity, we’d like to hear from you! Here’s to the world ahead.   

As a Data Engineer, you know the importance of data to the business. You design and set up projects that bring together information from a variety of sources, to enable analysis and decision-making. You make sure that data is accessible and easy to use, so that it can be used for routine and ad-hoc analysis. You draw on your considerable experience in bringing data to life to solve sometimes complex problems, and you are comfortable looking after several projects at once.

Essential Duties

• Give colleagues and clients the tools to find and use data for routine and non-routine analysis.
• Use your sound eye for business to translate business requirements into technical solutions.
• Analyze current business practices, processes, and procedures to spot future opportunities.
• Assess client needs to build bespoke data design services.
• Provide exceptional Support to our business partners
• Build the building blocks for transforming enterprise data solutions.
• Design and build modern data pipelines
• Implement effective metrics and monitoring.
• Be comfortable making your own decisions and guiding your colleagues.
• Design and develop technical best practices for modeling and report design

• Transforming business needs into technical solutions
• Mapping data and analytics
• Data profiling, cataloguing, and mapping to enable the design and build of technical data flows.
• Use proven methods to solve business problems using Azure Databricks
• Building or being part of the build of an Enterprise Semantic layer
• Experience in preparing data for and building pipelines and architecture.
• Capable of working independently to solve problems under deadlines and to manage multiple projects/priorities under time constraints.
• Review functional and design specifications to ensure a full understanding of individual deliverables.