DR

Data Engineer, Analytics Data Engineering

dropbox· 79 open roles

Remote RemoteFull-timeToday
Salary
CA$128,400 - CA$173,700
Experience
Mid
Job Type
Full-time
Posted
Today
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About This Role

The Data Engineer, Analytics Data Engineering at Dropbox builds large, scalable analytics pipelines using modern data technologies. This role involves defining company data assets, designing data integrations, and evaluating open source tools for data lineage. The ideal candidate has experience with Spark, SQL, and schema design, and excellent product strategic thinking and communications skills. The role requires collaboration with various teams to develop a long-term Data Platform architecture that is efficient, reliable, and scalable.

Key ResponsibilitiesAI-extracted

  • 1
    Help define company data assets and design data integrations
  • 2
    Design and evaluate open source tools for data lineage
  • 3
    Work closely with business units and engineering teams to develop a Data Platform architecture
  • 4
    Conceptualize and own the data architecture for multiple large-scale projects
  • 5
    Collaborate with engineers, product managers, and data scientists to understand data needs
  • 6
    Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts

RequirementsAI-extracted

  • 5+ years of Spark, Python, Java, C++, or Scala development experience
  • 5+ years of SQL experience
  • 5+ years of experience with schema design, dimensional data modeling, and medallion architectures
  • Experience with the Databricks platform and data lake architectures
  • BS degree in Computer Science or related technical field
  • Excellent product strategic thinking and communications skills

Perks & BenefitsAI-extracted

Typically: health coverage
Typically: paid time off
Typically: opportunities for career growth and professional development
Typically: flexible work arrangements, including remote work options
Typically: access to cutting-edge technologies and tools

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