Data Engineer, Analytics

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.

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+
users. 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. As we continue to expand and
create, we have a lot of exciting work ahead of us!

Responsibilities

* Manage and execute data warehouse plans for a product or a group of products to solve well-scoped problems.
* Identify the data needed for a business problem and implement logging required to ensure availability of 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.
* Build data expertise and leverage data controls to ensure privacy, security, compliance, data quality, and operations for allocated areas of ownership.
* Design, build and launch new data models and visualizations in production, leveraging common development toolkits.
* Independently design, build and launch new data extraction, transformation and loading processes in production, mentoring others around creating efficient queries.
* Support existing processes running in production and implement optimized solutions with limited guidance.
* Define and manage SLA for data sets in allocated areas of ownership.

Minimum Qualification

* 3+ years of experience with dimensional data modeling & schema design in Data Warehouses
* 2+ years of experience in custom ETL design, implementation and maintenance
* 2+ years experience with object-oriented programming languages.
* Experience with schema design and dimensional data modeling.
* Ability to analyze data to identify deliverables, gaps and inconsistencies
* Excellent communication skills including the ability to identify and communicate data driven insights
* Ability and interest in managing and communicating data warehouse plans to internal clients

Preferred Qualification

* BSc or MS degree in Technical Field, Computer Science or Mathematics.
* Experience working with either a Map Reduce or an MPP system
* Experience working with Python.

מספר משרה: 7557

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