Data Engineer, Product Analytics

3 days ago

Burlingame, California, United States Meta Full time
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
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 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 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.

Qualifications
Requires a Bachelor's degree (or foreign degree equivalent) in Computer Science, Computer Engineering, or a related field Requires education and/or experience in each of the following: 1. SQL 2. ETL 3. Data modeling 4. Schema design and dimensional data modeling 5. Programming languages: Python, C++, C#, and/or Scala 6. Dashboarding & Visualization 7. Telemetry and Logging design

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