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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:
Design, model, or implement data warehousing activities in order to contribute to the design and development of Meta products
Manage and execute data warehouse plans for a product or a group of products to solve well-scoped problems
Identify the data needed for a business problem and implement logging required to ensure availability of data, while working with data infrastructure to triage issues and resolve
Collaborate with engineers, product managers and data scientists to understand data needs, representing key data insights visually in a meaningful way
Build data expertise and leverage data controls to ensure privacy, security, compliance, data quality, and operations for allocated areas of ownership
Design, build and launch new data models and visualizations in production, leveraging common development toolkits
Independently design, build and launch new data extraction, transformation and loading processes in production, mentoring others around creating efficient queries
Support existing processes running in production and implement optimized solutions with limited guidance
Define and manage SLA for data sets in allocated areas of ownership
Work on problems of moderate scope where analysis of situations or data requires a review of a variety of factors
Exercise judgment within defined procedures and practices to determine appropriate action
Requirements:
Requires a Bachelor's degree (or foreign degree equivalent) in Computer Science, Engineering, Information Systems, Mathematics, Statistics, Analytics, or a related field
Position requires completion of a undergraduate-level course, research project, or internship, involving each of the following: Custom ETL design, implementation, and maintenance
Object-oriented programming languages
Schema design and dimensional data modeling
Writing SQL statements
Analyzing data to identify deliverables, gaps and inconsistencies