Data Engineer

AUTODESK TLV

Toronto, Canada
Base: $88,000 - $128,700; bonus/equity: annual cas...
Data processing & analytics pipelines
Build and scale data infrastructure
Automate cloud infrastructure
As a Data Engineer, you will work to rapidly improve critical data processing & analytics pipelines, tackle hard problems to improve the platform’s reliability, resiliency, and scalability, and build dashboards that business stakeholders can leverage on for viewing data, performing data analysis and viewing outcomes

Job Summary

  • As a Data Engineer, you will work to rapidly improve critical data processing & analytics pipelines, tackle hard problems to improve the platform’s reliability, resiliency, and scalability, and build dashboards that business stakeholders can leverage on for viewing data, performing data analysis and viewing outcomes.
  • You will need a product-focused mindset and it is essential for you to understand business requirements and architect systems that will scale and extend to accommodate those needs.
  • You will support analytics and provide critical insights around product usage, campaign performance, funnel metrics, segmentation, conversion, and revenue growth.

Matching Summary

As a Data Engineer, you will work to rapidly improve critical data processing & analytics pipelines, tackle hard problems to improve the platform’s reliability, resiliency, and scalability, and build dashboards that business stakeholders can leverage on for viewing data, performing data analysis and viewing outcomes.

Salary

Base: $88,000 - $128,700; Bonus/Equity: Annual cash bonuses, stock grants; Benefits: Comprehensive benefits package

Skills & Requirements

Must-have

  • Data processing & analytics pipelines
  • Build and scale data infrastructure
  • Automate cloud infrastructure
  • CI/CD pipelines and testing automation
  • Product-focused mindset
  • Understand business requirements

Nice-to-have

  • Growth mindset
  • Detail and quality oriented
  • Thrives on autonomy
  • Big impact with data

Key Requirements

  • 2-3 years of big data systems experience
  • 2+ years coding experience in Spark
  • 2+ years hands on programming skills (Python & SQL)
  • Familiar with ETL workflow management tools
  • 1+ years building reports and dashboards
  • Experience with version control and CI/CD tools
  • Experience analyzing data on notebook solutions
  • Bachelor’s degree in computer science, Engineering or related field, or equivalent training, fellowship, or work experience

Work Rights

Not specified

Tailored Resume

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