Are you passionate about data? Do you like working with big data? If yes, we want to talk to you! Data and associated analytics play a huge role in the success of Facebook. We have diverse business needs and very large-scale data. This makes it a wonderful and exciting challenge to provide scalable, actionable, reliable and timely data for our company. The Enterprise mission is to ship people-centric Enterprise solutions that transform and accelerate Facebook's business.
Our Mission in People Engineering is to find, grow, and keep people at Facebook. We're passionate about people, and we optimize the employee experience. Our team helps people find their way to the perfect job, become the best in the world at what they do and have a delightful time doing it. We're there each step of the way, from recruiting to retention. By enabling the enablers, we contribute to Facebook's mission of making the world more open and connected. People Engineering DE play a very vital role in this work. We have pods aligned to our Core data sets, Recruiting Products and People Products. We create, secure, maintain and curate Facebook's People Data. As well has our base responsibility to provide analytics and insights into the People and Recruiting Products and their impact, we also have broad responsibilities including building tools that enable and create analysis.
In this role, you'll see a direct link between your work, company growth, and user satisfaction. You'll work with some of the brightest minds in the industry, work with one of the richest data sets in the world, use cutting edge technology, and get an opportunity to solve some of the most challenging business and engineering problems, at a scale that few companies can match. You will do so by partnering with stakeholders/teams and building scalable solutions that provide business critical insights and metrics, while ensuring the best uptime and responsiveness.
This is a full-time position based in our office in Seattle, WA.
* Manage data warehouse plans for a product or a group of products.
Interface with engineers, product managers and product analysts to understand data needs.
Build data expertise and own data quality for allocated areas of ownership.
Design, build and launch new data models in production.
Design, build and launch new data extraction, transformation and loading processes in production.
Support existing processes running in production.
Define and manage SLA for all data sets in allocated areas of ownership.
Work with data infrastructure to triage infra issues and drive to resolution.
* 2+ years experience in the data warehouse space.
2+ years experience in custom ETL design, implementation and maintenance.
2+ years experience working with either a MapReduce or an MPP system.
2+ years experience with object-oriented programming languages.
2+ years experience with schema design and dimensional data modeling.
2+ years experience in creating SQL statements.
Experience analyzing data to identify deliverables, gaps and inconsistencies.
Experience managing and communicating data warehouse plans to internal clients.
* BS/BA in Technical Field, Computer Science or Mathematics
Knowledge in Python or Java
Facebook is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at email@example.com.
Facebook is a company providing an online social networking service.