The Data Engineer enhances our data pipelines using a combination of technologies and standard engineering practices. They are responsible for working with the software engineering, marketing, product, data science, and customer service teams to ensure our data is delivered in a timely and scalable fashion.
Requirements
• Understanding of programming languages such as Python, JavaScript, C#, or other language.
• Understanding of SQL Queries, Stored Procedures, Views, and Triggers.
• Understanding of the concepts of ETL or ELT (Extract, Transform, Load) processes.
• Working knowledge with BigQuery, data pipelines, or datafusion.
• Experience with Google Cloud services is desired.
• Creative problem-solver who is passionate about digging into complex problems and devising new approaches to reach results.
• Strong communication skills and experience distilling and presenting complex quantitative analysis into action-oriented recommendations.
• Familiarity with cloud-based data technologies.
Benefits
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Location: Our office is located in Toronto, ON, Canada, however the role is remote/hybrid/flexible and open to Canada & US applicants. Practice Better
MarketingSporty’s sites are some of the most popular on the internet, consistently staying in Alexa’s list of top websites for the countries they
DeveloperSporty’s sites are some of the most popular on the internet, consistently staying in Alexa’s list of top websites for the countries they
Developer