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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:
Triage & fact identification: Get the right people involved to understand what has happened and assess impact
Follow the facts uncovered in triage to mitigate and remediate the incident
Review and understand what happened and ensure that the root cause and contributing factors are identified, documented, and remediated
Apply technical understanding to ensure Meta learns from each incident to ensure it doesn’t resurface
Requirements:
Bachelor’s degree (or foreign equivalent) in Computer Science, Information Technology or a related field and 1 year of experience in the job offered or in a computer-related occupation
1 year of experience in Coding in Python, PHP, Java, C/C++ (or equivalent language) including code maintenance and review
1 year of experience in Identifying, analyzing, and remediating real-world privacy/security threats
1 year of experience in SQL and ability to write complex queries for data extraction, transformation, and filtering from large datasets
1 year of experience in Python for scripting, automation, and building scalable data processing workflows
1 year of experience in AI frameworks such as PyTorch
1 year of experience in Apache Airflow, data swarms, and pipeline frameworks for managing ETL processes
1 year of experience in Distributed data systems such as Hive, Presto, Spark, or Scuba for handling large-scale data
1 year of experience in Implementing data validation, monitoring, and auditing to ensure compliance with privacy requirements
1 year of experience in Automated tests and continuous integration/continuous deployment pipelines for data engineering projects to maintain reliability and privacy standards