Analytics Engineer, Pictela

Employer
Location
New York
Posted
Oct 25, 2012
Closes
Nov 24, 2012
Duration
Full Time
Pictela is looking to bring the next generation of advertising analytics to life. The ideal candidate will have extensive experience with Hadoop, Java, distributed processing, and a passion to solve problems around big data.

Primary Responsibilities:
� Contribute to all phases of the software development lifecycle, including the technical analysis, design, implementation, and QA.
� Ability to deconstruct problems, devise analytic solutions and implement solutions to get results quickly
 
Required Experience:
� Broad and deep technical understanding of data processing architectures for Big Data.
� Knowledge of RDBMS, data warehouse, BI and ETL technologies
� Experience with Hadoop and HDFS, and Hadoop sub projects such as Pig, Hive, HBase, Vertica or similar technologies
� Excellent communication and collaboration skills
� Experience with Amazon AWS (big plus)
� Experience with standard statistical modeling packages such as R or Matlab

Background and Qualifications
â? Familiarity with advertising/media systems is a big plus 
â? Bachelor’s degree in Computer Science or related field with 5-7 years of directly related experience


About AOL

Do you want to make the Internet better? We do too. And we’re always looking for people with great ideas. We need free spirits and straight shooters. Creatives and critics. Nerds with nerve. People who love the Internet, but can see its cracks… and future, too. At AOL we’re focused on radically redefining the world of online communications. We are transforming how people around the globe connect with information, entertainment and one another by bringing together award winning journalists and innovative technologies to create rich and engaging consumer experiences. We look for people who are exceptionally imaginative, collaborative, and truly excited about our mission - to inform, entertain and connect the world.

AOL is an equal opportunity employer and does not discriminate on the basis of age, color, disability, marital status, national origin, race, religion, sex, sexual orientation, veteran status or any other classification prescribed by applicable law.

 


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