23 Sep
Data Engineer, Analytics (Payments Ecosystem)
California, Menlopark 00000 Menlopark USA

Vacancy expired!

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: Our more experienced data engineers are clearly characterized by in-depth technical experience and proven progression in leadership responsibility. If you have an interest in being responsible for the dynamics of a fast-paced environment, this is the right role for you. You will be working on many projects at a time, but also focused on the details while finding creative ways to pursue big picture challenges.As part of the payments ecosystem team, you would be responsible for building the data foundations and metrics that are conformed across the Facebook Family of Apps and enable insights to the acquisition, revenue, compliance and risk , engagement/retention across payment products, payouts and provider performance ensure reliability and SLAs. The main consumers of these data artifacts would be the product teams and the executive team.Payments is a top priority for Facebook in 2020 and beyond recently has been made into an independent product organization called Facebook Financials with a focus to platformize the payments services. In this role, you will have the opportunity to define technical specifications for metric definition, logging, define and influence the right metrics and build the core datasets that will be used by our Data Scientists, Machine Learning engineers and product managers.A few examples of the story your dataset will tell:Compliance policies and effectiveness of implementation (KYC, KYB). Understanding the relation between acquisition, reliability, engagement and retention. Provide understanding how payment enables lift across different products. How payments perform on different platforms, products and operating systems.Required Skills:

Ensure conformance of metrics and detailed understanding of the metric definitions from business and technical implementation

Craft and own the optimal data processing architecture and systems for new data and ETL pipelines

Build core datasets as well as scalable and fault-tolerant pipelines

Build data anomaly detection, data quality checks, and enable easy root cause analysis

Define and own the data engineering roadmap for payments ecosystem and other areas to ensure seamless integration

Collaborate with Software Engineers and Data Scientists to design technical specification for logging and add logging to production code to generate metrics both online as well as offline

Work with different cross-functional partners - WhatsApp Payments Team, Compliance, Tax and Finance

Build visualizations to provide insights into the data & metrics generated on the Payments Platform

Work with data infrastructure teams to suggest improvements and influence their roadmap

Able to immerse yourself in all aspects of the product, understand the problems, and tie them back to data engineering solutions

Recommend improvements and modifications to existing data and ETL pipelines

Communicate and influence strategies and processes around data modeling and architecture to multi-functional groups and leadership

Drive internal process improvements and automating manual processes for data quality and SLA management

Provide ongoing proactive communication and collaboration throughout the organization

Actively mentor team members in their careers

Minimum Qualifications:

4+ years’ experience in the data warehouse space

4+ years' experience in payments analytics

4+ years’ experience working with either a MapReduce or an MPP system

7+ years’ experience in writing complex SQL and ETL processes

4+ years’ experience with object-oriented programming languages

7+ years’ experience with schema design and dimensional data modeling

Preferred Qualifications:

BS/BA in Technical Field, Computer Science or Mathematics

Knowledge in Python or Java

Experience analyzing data to identify deliverables, gaps, and inconsistencies

Experience effectively collaborating and communicating complex technical concepts to a broad variety of audiences

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.

Vacancy expired!


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