Data Engineer

  • 39332
  • Life - Data Engineering
  • |
  • Ontario, Canada
  • |
  • Mar 22, 2021
  • Build data products: design, curate, and publish self-service connected datasets within proper controls for use across Canada
  • Build data asset inventory: while building connected data, inventory critical data elements including lineage, classification, and usage
  • Build insights: complete data analysis and discovery to better understand the data and the story it is telling to drive actionable results
  • Influence Data Quality: complete data profiling of critical data elements, providing trending and insights that driven action to improve data quality across our customer base.
  • Loves teamwork and collaboration: collaborates on a daily basis with the core data squad team and business
  • Open to learning and sharing: excited to share learnings with others across the company, including senior leadership and community of practice participation
  • Recommend improvements to data engineering and governance practices across our company
  • Mathematics and/or Computer Science degree (Data & Analytics education an asset)
  • 3-5+ years of applied data management experience
  • Expertise and knowledge of R, Python, Zeppelin, PowerBI and Azure Cloud platform
  • Excellent communication and presentation skills and strong organization skills
  • Agile, practical, customer service-oriented mindset
  • Generally curious and excited to learn new things