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Job Descrption

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.Data Engineer, Analytics Responsibilities

• Design, build, and launch new data models and visualizations in production, leveraging common development toolkits.
• Coordinate 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.
• 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.
• May telecommute from any location in the US (Remote worker benefit).

Minimum Qualifications

• Requires Master's degree in Data Science, Analytics, Supply Chain Engineering, or a related field and 24 months of experience in job offered or in a relate occupation.
  
  Experience must include 24 months in the following skills and technologies:
• 1. Data ETL (Extract, Transform, Load) design, implementation, and maintenance on a large scale
• 2. Programming in Python
• 3. Writing SQL statements
• 4. Analyzing large volumes of data to provide data driven insights, gaps, and inconsistencies
• 5. Data warehousing architecture and plans
• 6. Dimensional data modeling and schema design
• 7. Map Reduce and MPP system
• 8. AMP stack development
• 9. AWS Redshift
• 10. Data Visualization, including Tableau and QuickSight.

LocationsAbout Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps 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. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics. Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to accommodations-ext@fb.com. $199,234/year to $235,400/year + bonus + equity + benefits

Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base salary, Meta offers benefits. Learn more about benefits at Meta.

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