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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.
Job Responsibility:
Research, design, develop, build and test platforms, services and products that support Meta's big data computing and analysis with a focus on data privacy and security
Build new features and improve existing systems
Work on problems of moderate scope
Push code, drive the development of the privacy and security solutions in Meta's big data computing platform, and be a part of a team to protect billions of users' data
Develop a strong understanding of relevant product areas, the codebase, and/or systems
Demonstrate proficiency in data analysis, programming and software engineering
Produce high quality code with good test coverage, using modem abstractions and frameworks
Receive general instructions on routine work and detailed instructions on new projects or assignments, work independently, use available resources to get unblocked, and complete tasks on-schedule by exercising strong judgment and problem solving skills
Master internal development standards from developing to releasing code to taking on tasks and projects with increasing levels of complexity
Actively seek and give feedback in alignment with company Performance Philosophy
Design, develop, build a finer granular access control list solution on Meta's data warehouse to enable security and privacy use cases for Facebook and Instagram
Build features and implement components to power innovative access control mechanism in a modularized data warehouse
Perform data analysis to identify opportunities in Meta's data infra permission service and develop solution to improve its reliability and efficiency
Requirements:
Requires a Master's degree (or foreign degree equivalent) in Computer Science, Engineering, Statistics, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field
Requires completion of a university-level course, research project, internship, or thesis in the following: Python, PHP, or Haskell
Relational databases and SQL
Software development tools: Code editors (VIM or Emacs), and revision control systems (Subversion, GIT, or Perforce)
Linux, UNIX, or other *nix-like OS as evidenced by file manipulation, advanced commands, and shell scripting
Core web technologies: HTML, CSS, or JavaScript
Building highly-scalable performant solutions
Data processing, programming languages, databases, networking, operating systems, computer graphics, or human-computer interaction
Big data computing platform, libraries and data modeling
In-depth knowledge of mathematics, statistics, and algorithms
Applying algorithms and core computer science concepts to real world systems as evidenced by recognizing and matching patterns from different areas of computer science in production systems