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Data Engineer
Ref No.: 18-15098
Location: San Francisco, California
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Team Description
Our Business Strategy & Operations team sets and drives key business initiatives across the company. We complement and support product, engineering, sales, and marketing teams across three critical areas: corporate and business unit strategy, business planning and sales operations, and business systems and tools development.
Role Description
The Data Engineer is responsible for designing and developing robust, scalable solutions for collecting, analyzing large data sets, creating and maintaining the data pipelines, structures and reports to be used by the revenue organization.
Responsibilities
Understand business processes, applications and how data is gathered; and to tie application telemetry to transactional data model.
Develop and manage data pipelines at enterprise scale
Build data expertise and own data quality for various data flows
Launch and support new data models that provide intuitive analytics to your customers
Design and develop new framework and automation tools to enable folks to consume and understand data faster
Use your expert coding skills across a number of languages like SQL, Python and Java to support analysts and data scientists
Collaborate with multiple teams in high visibility roles and own the solution end-to-end

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5+ years of Python or Ruby development experience is necessary;
5+ years of SQL (Oracle, AWS Redshift, Hive, etc) experience is required, No-SQL experience is a plus;
5+ years of experience in custom or structured (ie. Informatica/Talend/Pentaho) ETL design, implementation and maintenance;
Nice to have: Experience working with either a Map Reduce or a MPP system on any size/scale
Nice to have: Experience working with visualization tools like Tableau or MicroStrategy
Communication skills including the ability to identify and communicate data driven insights