Data Engineer

5 days ago

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Dropbox

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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

• In this role you will build very large, scalable platforms using cutting edge data technologies. • Help define company data assets (data model), Spark, HiveSQL jobs to populate data models. • Help define and design data integrations, data quality frameworks and design and evaluate open source/vendor tools for data lineage. • Work closely with Dropbox business units and engineering teams to develop strategy for long term Data Platform architecture to be efficient, reliable and scalable. • Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems. • Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights in a meaningful way. • Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains. • Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts.

🎯 Requirements

• 5+ years of Python, Java, C++, or Scala development experience • 5+ years of SQL experience (No-SQL experience is a plus) • 5+ years of experience with schema design and dimensional data modeling • Startup mentality with strong ownership to solve problems autonomously. • Excellent product strategic thinking and communications to influence product and cross-functional teams by identifying the data opportunities to drive impact • BS degree in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent technical experience • Experience designing, building and maintaining data processing systems