Meta

Compensation

Full Description

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click “Apply to Job” online on this web page. Responsibilities Design and develop creative and innovative solutions to manipulate and transform data coming from diverse domains and components operating in facebook.com, such as advertisements and pages, as well as other custom software systems and databases. Design, architect and develop data solutions that help product and business teams make data-driven decisions. Lead data solution design efforts from beginning to end, as well as processes for the development and implementation of data integration for external insights, and work on Data Warehouse and Operational Data Store. Provide insights that influence the overall strategy and plan for the framework and construction of a scalable data solution and data warehouse environment. Leverage a homegrown Extract, Transform, Load (ETL) framework as well as off-the-shelf ETL tools, as appropriate. Collaborate with data infrastructure and engineering teams to build and extend cross-platform ETL and reports generation frameworks. Provide consultation to business partners including analysts, managers, end users, and developers to clarify work objectives, determine project scope, obtain consensus, identify problems, and recommend solutions. Support end users on ad hoc data usage and serve as subject matter experts on functional matters. Develop ETL using Python, Perl, PHP, or similar technologies. Manage extremely large volumes of data. Telecommuting from anywhere in the US allowed. Minimum Qualifications Requires a Bachelor's degree (or foreign degree equivalent) in Computer Science, Engineering, Information Systems, Mathematics, Statistics, Data Analytics, Applied Sciences, or a related field, and 5 years of progressive, post-baccalaureate work experience in the job offered or in a computer-related occupation Requires 5 years of experience in the following: Custom ETL design, implementation, and maintenance Data warehousing architecture and data modeling Writing SQL statements Analyzing data to identify deliverables, gaps, and inconsistencies MapReduce or MPP system Hadoop, HBase, or Hive Python, C++, C#, Perl, or PHP $224,028/year to $279,400/year + bonus + equity + benefits