Data Engineer

Responsibilities

• Leverage tools like SQL, Hadoop, R, PHP, Python, Oracle, Java, and Excel to drive efficient analytics and reporting or performing data extraction from mySQL/oracle/hive leveraging an extremely large data set

• Focus on collecting, parsing, managing, analyzing and visualizing large sets of data to turn information into insights using multiple platforms

• Work with internal technical operations teams to define metrics, automate data collection, synthesize relevant data, build analytical models and forecasts

• Create and manage failure and/or trend analysis

• Create and/or assist in the development of tools or data dashboards that drive efficiency

Requirements

• BA/BS degree

• Strong in statistics fundamentals, set theory and relational algebra

• Experience of 4+ years of programming (C++, JAVA, PHP, PERL, PYTHON etc.)

• Proficiency in SQL is required

• Demonstrated problem solving ability with experience providing practical business insights from large, complex data sets

• Understanding Data warehousing concepts: ETL, OLAP vs. OLTP, Slowly Changing Dimensions, is a plus

• Reporting / dashboarding with any BI tool (Microstrategy, Tableau, Business Objects etc.) is desired

• Basic knowledge (college level or hands-¬‐on) of stats modeling: classification, logistic regression, decision trees, clustering, k-¬‐fold cross validation, etc. required

• Provide strong interpersonal skills while acting under diverse roles

• Liaison, consultant, leader, peer, owner, customer, etc.

• Experience in technical operations or hardware that supports a large scale website beneficial

• Able to work in an extremely high volume, high energy environment

All your information will be kept confidential according to EEO guidelines.