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IndustryWeb 2.0, Software, Consumer, E-commerce, Advertising
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Senior Data & Analytics Engineer

at Lift Media in San Francisco, CA   —   Jul 08, 2014   |  
Do you enjoy working with incredibly massive data sets? Do you like the challenges that come with designing and building large, scalable data warehouses that can be leveraged for business intelligence? Do you enjoy taking ownership of large projects?

We collect massive amounts of data from millions of users a day and we're looking for the right talent to help us manage it. You'll be responsible for building and managing our data warehouses, developing and maintaining sophisticated business intelligence tools, and doing so for scale...massive scale. In addition to being a strong coder with scalable system experience, you will need exceptional problem-solving expertise and a heavy attention to detail.
Perform analysis to elicit the data requirements of new Business Intelligence initiatives.
Design, implement and maintain scalable data warehousing solutions.
Develop, maintain and enhance modules for data population and extraction.
Build scripts to automate and schedule regular batch jobs.
Partner with other engineers to build solutions and provide support and guidance to business analysts and customers.
BS/MS in Computer Science or equivalent.
3+ years developing scalable solutions with large data sets.
Strong foundation in SQL and RDBMS technology.
Experience with Java, C/C++ or any other modern programming language a must.
Expertise in data structures, algorithms, and complexity analysis.
Knowledge of Unix/Linux and shell scripting, with Python being a plus.
Understanding of scalability and performance issues of high volume applications.
Experience with cloud computing a plus (Amazon's EC2 & S3, Google's App Engine, etc)
Personable, with superlative analytical and communication skills.
A strong sense of ownership, urgency, and drive.
Fearless - not afraid of hard problems.
BS/MS in Computer Science or equivalent.
Salary, Full Benefits, 401k
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