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Intro: Facebook's mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, people at Facebook are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities - we're just getting started.Summary: Every month, billions of people leverage Facebook products to connect with friends and loved ones from across the world. On the Data Engineering Team, our mission is to support these products both internally and externally by delivering the best data foundation that drives impact through informed decision making. As a highly collaborative organization, our data engineers work cross-functionally with software engineering, data science, and product management to optimize growth, strategy, and experience for our 3 billion plus users, as well as our internal employee community. In this role, you will see a direct correlation between your work, company growth, and user satisfaction. Beyond this, you will work with some of the brightest minds in the industry, and you'll have a unique opportunity to solve some of the most interesting data challenges around efficiency and integrity, at a scale few companies can match.Unique to our domain specialist data engineers is the ability to own a specific area within the broader data engineering community either in a technical capacity (e.g., real-time/batch/lambda data processing, machine learning, experimentation systems, application performance optimization, etc.) or an industry capacity (e.g., personalization systems, consumer marketing, retail/e-commerce, ad-tech, etc.). As we continue to expand and create, we have a lot of exciting work ahead of us!Required Skills: Act as a subject matter expert of a specified domain or class of data engineering challenges, leading by example and mentoring others.
Actively participate in and stay informed on latest industry developments within a specified domain.
Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems.
Create and contribute to frameworks that improve the efficacy of logging 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.
Define and manage SLA for all data sets in allocated areas of ownership.
Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership.
Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains.
Solve our most challenging data integration problems, utilizing optimal ETL patterns, frameworks, query techniques, sourcing from structured and unstructured data sources.
Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts.
Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts.
Influence product and cross-functional teams to identify data opportunities to drive impact.
Minimum Qualifications: 5+ years experience in the data warehouse space.
5+ years experience in custom ETL design, implementation and maintenance.
5+ years experience with object-oriented programming languages.
7+ years experience with schema design and dimensional data modeling.
7+ years experience in writing SQL statements.
Experience building successful solutions within a specified domain.
Experience analyzing data to identify deliverables, gaps and inconsistencies.
Experience managing and communicating data warehouse plans to internal clients.
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
Preferred Qualifications: Experience working with either a MapReduce or an MPP system.
Knowledge and practical application of Python.
Experience working autonomously in global teams.
Experience influencing product decisions with data.
Industry: InternetEqual Opportunity: Facebook is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Facebook is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.
