Staff Data Engineer - Commerce Data

February 25

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Logo of Dropbox

Dropbox

Dropbox is a cloud-based service that provides tools for storing, sharing, and accessing files across devices. It offers features such as document sharing, video review, automatic backups, and AI-driven scheduling. Dropbox also provides solutions for different sectors like teams, sales, marketing, and education, and industries including construction, media, technology, and manufacturing. With a focus on security, Dropbox ensures files are encrypted and protected against tampering. It offers integrations with various productivity tools and is trusted by major companies for efficient file management and collaboration.

Cross-platform file sync • File sharing • Online backup • Cloud storage • Collaboration

1001 - 5000 employees

Founded 2007

🏢 Enterprise

⚡ Productivity

📋 Description

• Dropbox seeks a highly skilled and motivated Staff Data Engineer to join our Commerce Platform team. • You will be responsible for building next-generation commerce data pipelines that support crucial business decisions across the organization. • The ideal candidate will have a strong culture of innovation and accountability, and expertise in developing data health metrics that integrate with data governance, observability, and quality management tools. • This role includes maintaining existing pipelines, and constructing new infrastructure to replace outdated systems. • As a Staff Data Engineer, you will act as a leader and senior member of the team helping them build very large, scalable platforms using cutting edge data technologies. • This is not a “maintain existing platform” or “make minor tweaks to current code base” kind of role. • We are effectively building from the ground up and plan to leverage the most recent Big Data technologies. • If you enjoy building new things without being constrained by technical debt, this is the job for you!

🎯 Requirements

• BS degree in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent technical experience • 10+ years of Python development experience • 10+ years of SQL experience (Spark and Databricks-specific SQL is a plus) • 10+ years of experience with schema design, dimensional data modeling, and scalable data architecture • Demonstrable track record managing, communicating, and collaborating with internal clients on data platform plans and capabilities • Experience designing, building and maintaining data processing systems • Experience working with data at significant scale and optimizing queries and pipelines

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