Data Engineer, Dropbox

• If you enjoy building new things without being constrained by technical debt, this is the job for you!
• 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 for large-scale data processing and analytics
• 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

Desirable

• The Dropbox Engineering Team builds the technology that creates more enlightened ways of working for hundreds of millions of people
• Our software engineering team uses a range of technologies to solve interesting problems, including Python, React, Node.js, JavaScript, MongoDB, PostgreSQL, and Android development
• In this role you will build large, scalable analytics pipelines using modern 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
• Help define company data assets (data model), Spark, SparkSQL and 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
• Many teams at Dropbox run Services with on-call rotations, which entails being available for calls during both core and non-core business hours
• If a team has an on-call rotation, all engineers on the team are expected to participate in the rotation as part of their employment
• Applicants are encouraged to ask for more details of the rotations to which the applicant is applying