Data Warehouse Engineer at Canva
Sydney, AU
At Canva, we work every day to make a significant positive impact on society. Our mission is to democratise design and empower creativity for anyone and everyone, on every platform!
 
Since launch in April 2013 we have grown exponentially, amassing over 15 million users in over 100 languages. We are one of the world’s fastest growing technology companies with software engineering being the core part of who we are. Our Data Engineering team is seeking experienced Data Warehousing Engineers to help build out our new platforms and systems to support the continued growth of Canva's technical footprint.
 
We take pride in our focus on software engineering fundamentals and pragmatism.  With engineers from previous companies such as Google, Facebook, Atlassian, Amazon, and Yahoo, the team strives to use the most appropriate tools for the tasks at hand - striking a measured balance between getting things done and long term maintainability.

Responsibilities

  • Hands-on development, tuning, and overall management of our newly acquired Data Warehouse platform
  • Responsibility for the continued development of new features, functionality, and optimisation from raw data ingestion, to the access and modelling layer, through to maintaining the visualization layer
  • Providing functional and technical subject matter expertise with respect to data management, business intelligence, and reporting to internal stakeholders across the Canva business
  • Responsibility for managing planning and delivery of Data projects and initiatives across the wider business; in conjunction with Experiments, Product Analytics, and the Machine Learning Team

Required Skills & Experience

  • A demonstrated grounding in the Data Warehousing domain – experience building and managing large data warehouse and data mart environments in the cloud (AWS, Google Cloud, etc)
  • Advanced SQL scripting skills as well as reasonable proficiency any of the following: Java, Scala, or Python
  • Experience developing dashboards and reporting systems
  • An understanding of the Hadoop ecosystem and related technologies: MapReduce, HDFS, Yarn, Hive, Presto, Impala, etc
  • Familiarity with a wide set of Data Warehouse architectures and methodologies, schemas, and performance / optimization principles
  • Excellent written & and verbal communication and collaborative skills

Company Benefits

  • Competitive salary, plus equity options
  • Flexible working hours – we value work-life balance
  • In-house chefs that cook delicious breakfast and lunch for us each day
  • On-site Gym; Yoga Membership
  • Generous parental leave policy
  • Pet-friendly offices
  • Sponsored social clubs and team events