Data Engineer

Description

Data EngineerFacebook is seeking an experienced Data Engineer to join the IT team and participate in the design and development of creative and innovative solutions to manipulate/transform data coming from diverse facebook.com domains and components (such as ads, pages etc) as well as other custom systems and databases to facilitate its visibility and consumption through the appropriate interfaces. This is a fulltime position based in our main office in Palo Alto.ResponsibilitiesDesign, Architect and Develop data solutions to help product and business teams at Facebook to make data driven decisionsLead endtoend efforts to design, development and implementation data integration processes for external insights, Data Warehouse and Operational Data StoreInfluence overall strategy and roadmap to architect & build a scalable insights solution as well as data warehouse environmentLeverage homegrown ETL framework as well as offtheshelf ETL tools, as appropriateInterface closely with data infrastructure and engineering teams to build and extend cross platform ETL and reports generation frameworkProvide consultative solutions approach to business partners such as Analysts, Management, End Users and Developers to clarify objectives, determine scope, drive consensus, identify problems and recommend solutionsSupport end users on ad hoc data usage and be a subject matter expert on functional side of the businessRequirementsB.S. or M.S. Computer Science or related field Passionate about dataAtleast 5 years of ETL development experience with Python, Perl, PHP or similar technologiesExpert understanding of ETL techniques and best practices to handle extremely large volume of dataExperience with Data warehousing architecture and data modeling best practicesl Knowledge of Hadoop, HBase and Hive highly preferredExperience with File Systems, server architectures, and distributed systemsKnowledge of MicroStrategy or similar BI reporting solutions preferredExpertise around database programming and performance tuning techniquesStrong analytical skills including the ability to define problems, collect data, establish facts, and draw valid conclusionsStrong communication skills and willingness to take initiative to contribute beyond basic responsibilities