Data Engineer, Analytics Data Engineering

1 hour, 13 minutes ago
Full-time
Senior
Software Development
Dropbox

Dropbox

Dropbox is a technology company that builds simple, powerful products for individuals and businesses. With over 700 million registered users worldwide, Dropbox offers file sync, sharing, online backup, cloud storage, collaboration tools, and more to st...

Internet Software & Services
1K-5K
Founded 2007

Description

  • Build large, scalable analytics pipelines using modern data technologies.
  • Help define company data assets, including data models and SparkSQL jobs to populate them.
  • Help define and design data integrations, data quality frameworks, and data lineage tooling.
  • Work with Dropbox business units and engineering teams to shape long-term Data Platform architecture.
  • Own data architecture for multiple large-scale projects and evaluate design and operational tradeoffs.
  • Collaborate with engineers, product managers, and data scientists to understand data needs and present insights clearly.
  • Design, build, and launch sophisticated data models and visualizations across multiple products or domains.
  • Optimize pipelines, dashboards, frameworks, and systems to make data artifact development easier.
  • Participate in on-call rotations when assigned to the team.

Requirements

  • 5+ years of development experience with Spark, Python, Java, C++, or Scala.
  • 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 for large-scale data processing and analytics.
  • Strong product strategy thinking and communication skills to influence product and cross-functional teams.
  • BS degree in Computer Science or a related technical field involving coding, or equivalent technical experience.
  • Experience designing, building, and maintaining data processing systems.
  • 7+ years of SQL experience (preferred).
  • 7+ years of experience with schema design, dimensional data modeling, and medallion architectures (preferred).
  • Experience with Airflow or similar orchestration frameworks (preferred).
  • Experience building data quality monitoring using MonteCarlo or similar tools (preferred).

Benefits

  • Canada pay range of $128,400 to $173,700 CAD.
  • Opportunity to work on a greenfield platform with minimal legacy technical debt.
  • Exposure to recent big data technologies and modern data infrastructure.
  • Potential for team on-call participation as part of the role, with rotating service coverage.

Interested in this position?

Apply directly on the company website

Apply Now

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