Data Engineer, Analytics Data Engineering

DropboxDropbox·Remote(Remote - Canada: Select locations)
Software Development
Excel

WFA Digital Insight

As demand for data-driven insights grows, companies like Dropbox are seeking skilled data engineers to build scalable analytics pipelines. With a focus on modern Big Data technologies, this role is perfect for those who enjoy building from the ground up, unconstrained by technical debt. Excel skills are a must, and experience with cloud-based data platforms is a plus. Dropbox's transparent Engineering Career Framework makes it easier for candidates to understand expectations and growth opportunities.

Job Description

About the Role

We're building large, scalable analytics pipelines using modern data technologies. This is a ground-up development role, not a maintenance or minor tweak position. Our goal is to leverage the latest Big Data technologies to drive business insights.

Responsibilities

  • Build large, scalable analytics pipelines using modern data technologies
  • Collaborate with cross-functional teams to drive business insights

Requirements

  • Strong data engineering skills, with experience in building scalable analytics pipelines
  • Proficiency in Excel

Nice to Have

  • Experience with cloud-based data platforms and Big Data technologies

Benefits

  • Opportunity to work with modern data technologies and build from the ground up
  • Collaborative and dynamic work environment

How to Stand Out

  • Familiarize yourself with modern Big Data technologies and scalability principles to stand out in the application process.
  • Showcase your experience with data engineering and analytics pipeline development in your portfolio or resume.
  • Be prepared to discuss your approach to building scalable data pipelines and how you handle technical debt.
  • Highlight your proficiency in Excel and any other relevant data analysis tools.
  • Research Dropbox's Engineering Career Framework to understand the company's expectations and growth opportunities.

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