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Los Angeles (Downtown), California - USD Full Time Posted: Thursday, 11 July 2019
Job Description

Job Description

Responsibilities Include

  • Recruit, retain and focus talented data engineers (onshore and offshore)
  • Provide guidance to top management on KPI's, metrics, and business decisions leveraging accurate analysis of user and business data. Provide insightful data analysis and automate BI reporting and analysis to our advertising and distribution partners.
  • Data engineering:
  • Design, model and develop data sets to support reporting and analytics in a cloud environment
  • ETL development: perform all aspects of programming assignments and assist with systems design
  • Develop and maintain a technical metadata framework and repository of data events and ETL operations
  • Manage and administer analytics tools and tag management systems
  • Help plan and maintain the technical infrastructure, its configuration, performance, and storage requirements, with consideration of tiered data and data archiving
  • Automate BI reporting functions
  • Provide expert advice in the usage, interpretation, and automation of data to various business partners

Qualities/Experience We're Seeking

  • Strong executive leadership experience managing teams of data engineers
  • Experience working with top executives and collaborating with business leaders to leverage the value of data to drive and influence the business
  • Strong technical recruitment and experience previously scaling a team onshore and offshore. Strong judge of talent.
  • Proven success driving teams and delivering results quickly in a startup environment
  • Working knowledge of digital media and/or consumer web services ecosystem, advertising experience is preferred
  • Experience managing and leading data engineering efforts leveraging the following technologies:
  • Top-tier data engineering experience on cloud infrastructure (AWS).
  • Real-time big data analytics and ETL development
  • Hadoop, MapReduce, or other big data processing platforms
  • Columnar databases like Redshift, Vertica etc.
  • Software data engineering efforts (languages such as Java, Python, scripting)
  • Data visualization tools such as Looker, Tableau
  • Statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets

Los Angeles (Downtown), California, United States of America
Leading IT Company
Leading IT Company
7/11/2019 6:01:34 PM

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