You will use your expertise to:

  • Work on multiple projects as a technical team member or lead, driving user story analysis and elaboration for data requirements
  • Ensure all automated processes preserve data by managing the alignment of data availability and integration processes
  • Develop, construct and automate data pipelines that allow for leading edge analytical models
  • Perform technology and product research to better define requirements, resolve important issues and improve the overall capability of the data ingestion and transformation stack
  • Translate complex functional and technical requirements into detailed, design, and high performing end to end data pipelines
  • Derive and develop the automation and promotion of data pipelines from development to test to production
  • Construct the production management and monitoring of data pipelines

We’d like to review your application if you have…

Must-haves (minimum requirements):

  • Five or more years of experience in data modelling and data mining techniques including regression, clustering, and outlier detection
  • Five or more years in ETL, SQL/NoSQL, data warehousing, and metadata management
  • A Bachelor’s degree or Masters in Computer Science, Computer Engineering, Software Engineering or a related technical field
  • Excellent knowledge in scripting with CLI, PowerShell, and data serialization languages
  • Advanced knowledge of working with cloud platform (e.g. Microsoft Azure, AWS, Google Cloud)
  • Exceptional business analysis and solution design thinking skills
  • Proven communication and social skills
  • Alignment with our values: safety above all else, stronger together, operational discipline, curiosity and lifelong learning, and act with integrity

Preference for:

  • Excellent grasp of cloud fundamentals and solutioning around PaaS with a preference for those familiar with Azure
  • Good understanding of DevOps principals and tools
  • Familiarity with programming languages such as C# and Python
  • Experience with streaming ingestion and real-time data processing

Where you’ll be working, your work schedule, and other important information:

  • You will work out of our Calgary head office, located in the Suncor Energy Centre at 150 – 6th Ave S.W.
  • This role can also be supported from one of our hub locations (e.g. Mississauga, Fort McMurray, Edmonton, Sarnia, Montreal)
  • One of our values is curiosity and lifelong learning – we challenge the status quo and learn from and support each other to make the world a better place
  • We are so invested in building advanced analytics skills within our organization that we've created the Analytics Academy to profide training to employees through instructor-led courses, e-learning, communities of practice, etc.