Data Developer

7 days ago

Austin, Texas, United States Meta Full time $104,000 - $156,000 per year
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
  • Apply quantitative skills to and incorporate qualitative insights to inform and influence strategy for Global Operations.
  • Partner with Operations, Data Science, Data Engineering, Product and Engineering teams to solve problems and identify trends and opportunities.
  • Analyze data, conduct research and synthesize feedback into plans, processes and playbooks.
  • Build/maintain data infrastructure (data pipelines, aggregated data sets, reports, dashboards) to monitor the performance of our operations and drive business understanding.
Minimum Qualifications
  • Employer will accept a Bachelor's degree(or foreign equivalent) in Economics, Computer Science, Information Systems, Math, Statistics, Operations Research, Electrical and Electronic Engineering, or related field, and three years of work experience in job offered or in a computer-related occupation
  • Must include three years of experience in each of the following:
  • Querying and manipulating complex raw datasets for analysis using SQL and at least one scripting languages: PHP, Python, or Perl
  • Data Development, Data Engineering, Data Analytics, or Visualization tools such as Tableau or Looker)
  • Reporting systems, data pipeline architecture, and data modeling
  • Explaining technical concepts and analysis implications clearly to varied audiences and be able to translate business objectives into actionable analyses and
  • Developing data pipelines via SQL and Python-based ETL frameworks
  • Writing testable code

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