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Menlo Park

    Data Engineer - Menlo Park, United States - META

    META
    META Menlo Park, United States

    1 month ago

    Meta background
    Description

    Every month, billions of people leverage Meta products to connect with friends and loved ones from across the world. As a data engineer in the team, you will play a critical role in ensuring the safety and well-being of our users by using data to identify and mitigate risks.You will have the opportunity to work on complex and meaningful problems that have a direct impact on the lives of people around the world. You will have the chance to work with cutting-edge technology and tools to develop innovative solutions to some of the most pressing challenges facing our platform. You will have the satisfaction of knowing that your work is making a real difference in the lives of people and helping to create a safer and more trustworthy online community.

    Data Engineer - Trust & Safety Responsibilities

    • Designs, builds, and contributes to semantic services that reduce the complexity and time required to define data and ensure reusability across the company
    • Designs, builds, and contributes to services that reduce the complexity and time investment required to log data accurately and efficiently
    • Architects sophisticated multi-tier logical and physical models that reduce the time and complexity required to perform data modeling across a product or domain
    • Defines and implements security models for ambiguous and complex spaces
    • Defines and evolves best practices that enable the function to implement security models efficiently
    • Defines and evolves best practices, frameworks, or logging that improves our ability to deliver high quality data
    • Identifies and confirms that commitments and safeguards are being followed within their respective scope
    • Teaches others on how to navigate the space in the context of legal compliance
    • Defines, evolves, and drives the organizational standards, policies, and process for data governance at the function level
    • Architects and implements for scale and complexity
    • Defines and evolves new standards and patterns that are adopted across the function
    • Solves the most challenging or complex query based problems in the most efficient, readable, and scalable way
    • Defines and evolves new standards and patterns that are adopted across the function
    • Works with complex data sources that require considerable source system analysis before processing
    • Defines and evolves new methods of handling and storing complex data structures
    • Proactively identifies opportunities to improve Meta's integration frameworks and drives changes to them
    • Appropriately applies advanced concepts and procedures to solving complex data visualization problems
    • Identifies and creates the most powerful way to visualize the data and distills complex findings into simple, compelling visualizations
    • Designs and builds services that reduce the complexity and time investment required to prepare and manipulate data for visualization
    • Conceptualizes new interface components, widgets and design elements, or new ways to compose an interface to maximize its value and usefulness
    • Takes ownership to test and maintain code quality - including reliability, backend (e.g., service, user experience), efficiency (e.g., compute, storage), security (e.g., data privacy, data access, detection), and performance
    • Evaluates design and operational cost/ benefit trade-offs in systems
    • Integrates software components into production systems
    • Evaluates configuration parameters to optimize efficiency, performance, and scalability of software components
    • Partners with system architects to optimize design to deliver the overall system architecture
    Minimum Qualifications
    • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
    • 5+ years experience in the data warehouse space, custom ETL design, implementation, and maintenance.
    • 5+ years experience with object-oriented programming languages.
    • 7+ years experience in writing SQL statements with schema design and dimensional data modeling.
    • Experience managing and communicating data warehouse plans to internal clients.
    Preferred Qualifications
    • Master's or Ph.D degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
    • Experience with one or more of the following: data processing automation, data quality, data warehousing, data governance, business intelligence, data visualization, data privacy
    • Experience working with terabyte to petabyte scale data.
    • Experience influencing product decisions with data.
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