Infrastructure Strategy Data Engineer
Previous Job
Infrastructure Strategy Data Engineer
Ref No.: 18-06437
Location: Seattle, Washington
At Facebook, we have many opportunities to work with data each and every day. How would you like to work on data and build some of the tools that are critical to moving & transforming this data into valuable & insightful information? If so, this is the right job for you. Our Infrastructure Strategy team works very closely with all aspects of Infra data, both internal and external. We are looking for a Data Engineer with the Software Engineering chops to not only build data pipelines to efficiently and reliably move data across systems, but also to build the next generation of data tools to enable us to take full advantage of this data. In this role, your work will broadly influence the company's data consumers and analysts. You will get the opportunity to work with focused and scaled objectives in a company that has some of the most challenging problems to tackle.
Build data expertise and own data quality for the pipelines you build
Architect, build and launch new data models that provide intuitive analytics to your customers • Design, build and launch extremely efficient & reliable data pipelines to move data (both large and small amounts) to our Data Warehouse
Design and develop new systems and tools to enable folks to consume and understand data faster
Use your expert coding skills across a number of languages from Python, Java and PHP
Build framework for auditing, error logging & master data management for your pipelines
Work across multiple teams in high visibility roles and own the solution end-to-end

Minimum Qualifications
5+ years of Python development experience. Experience with more than 1 language is preferred
5+ years of SQL (Oracle, Vertica, Hive, etc.) experience
2+ years of Data Modeling
Ability to analyze data to identify deliverables, gaps and inconsistencies.
5+ years of experience in custom or structured (i.e. Informatica/Ab Initio/Talend/Pentaho) ETL design, implementation and maintenance
Experience working with either a MapReduce or a MPP system on any size/scale.
Communication skills including the ability to identify and communicate data driven insights.
Preferred Qualifications
Experience working with or in support of diverse communities.
Interface with engineers, product managers and product analysts to understand data needs.