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Growth Data Engineer
Posted on 3/30/2023
Locations
Toronto, ON, Canada
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
BigQuery
Data Analysis
Marketing
Sales
SQL
Python
Requirements
  • 3+ years experience in data engineering or similar field
  • Advanced SQL in a modern data warehouse environment
  • Effective use of scripting languages such as Python
  • Ability to balance performance, cost and quality
  • Experience with dbt
  • Ability to self-govern and apply best practices
  • Strong communication skills and a desire to thrive in a highly cross-functional environment
  • Curiosity and a love for solving ambiguous, evolving problems
Responsibilities
  • Create, maintain and optimize business-critical workflows
  • End to end ownership of data models, pipelines, cost, monitoring and quality
  • Create operational analytics environment to support new models and tools
  • Design, deploy and maintain tools, systems and datasets that enable product, sales, marketing teams, analysts and data scientists to deeply understand the Fivetran customer journey and operationalize relevant targeting, segmentation and engagement
  • Unify data from multiple sources owned by multiple departments
  • Apply business-oriented approaches to working with data
  • Develop a detailed understanding of how users engage with Fivetran product and services
Desired Qualifications
  • Experience working in BigQuery
  • Experience setting up an analytics environment from the ground up
  • Experience working in B2B software, data products or other technical software products
  • Experience collaborating directly with product, engineering, marketing and data scientists
  • Experience with customer and marketing data
  • Experience with experimentation use cases
Fivetran
Automated data pipelines
Company Overview
Fivetran automates connectors to sync data from cloud applications, databases, and event logs into users' data warehouse.