- San Francisco, CA
Thank you for your interest in Dropbox careers. We are actively hiring for this position and look forward to reviewing your application. Dropbox is continuing to monitor the COVID-19 pandemic as the health and safety of our community, employees and candidates remain our number one priority. We appreciate your flexibility as we adapt our hiring processes during this evolving situation.
Dropbox is the world's first smart workspace that helps people and teams focus on the work that matters. With more than 600 million registered users across 180 countries, we're on a mission to design a more enlightened way of working. Dropbox is headquartered in San Francisco, CA, and has 12 offices around the world.
Our Engineering team is working to simplify the way people work together. They're building a family of products that handle over a billion files a day for people around the world. With our broad mission and massive scale, there are countless opportunities to make an impact.
In this role you will 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!
- You will help define company data assets (data model), spark, sparkSQL and hiveSQL jobs to populate data models
- You will help define/design data integrations, data quality frameworks and design/evaluate open source/vendor tools for data lineage
- You will work closely with Dropbox business units and engineering teams to develop strategy for long term Data Platform architecture
- BS or MS degree in Computer Science or a related technical field
- 4+ years of Python or Java development experience
- 4+ years of SQL experience (No-SQL experience is a plus)
- 4+ years of experience with schema design and dimensional data modeling
- Ability in managing and communicating data warehouse plans to internal clients.
- Experience designing, building and maintaining data processing systems
- Experience working with either a Map Reduce or a MPP system on any size/scale
- 100% company paid individual medical, dental, & vision insurance coverage
- 401k + company match
- Market competitive total compensation package
- Free Dropbox space for your friends and family
- Wellness Reimbursement
- Generous vacation policy
- 10 company paid holidays
- Volunteer time off
- Company sponsored tech talks (technology and other relevant professional topics)
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