JOBS: Director of Data Operations and Sr Software Engineer/Java & Hadoop

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Liz Dooley

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Jun 20, 2013, 5:29:48 PM6/20/13
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I hope it is ok to post openings here.. If it is not, I will delete.

I am recruiting for several roles within Cloudability.. please let me know if you are interested in either of these roles..

Thank you,

Liz

As the Director of Data Operations at Cloudability you’ll lead a growing data engineering team in day to day operations. You will also have an opportunity to shape the architectural vision of the company as they strive to solve increasingly more complex technical challenges related to real-time analytics. You will be responsible for a data ingestion pipeline and be able to drive new data platform initiatives.

 

Responsibilities include:

 Manage and grow the data engineering team

  • Architect scalable and efficient data management processes
  • Evaluate and when appropriate integrate new innovative data tools
QUALIFICATIONS
  • Ability to easily identify and troubleshoot problems
  • Understanding of key data pipeline and ELT design principles
  • Hadoop MapReduce and HBase experience (must have)
  • Relational database management and SQL expertise
  • Deep knowledge of AWS services like RDS, EMR and S3
  • Comfortable with git
ADDITIONAL INFORMATION

What we're offering:

  • A competitive full-time salary and stock options. We want you to be excited to be a part of a startup, not starve.
  • Fully paid health care, dental and vision insurance for you and your family.
  • Optional FSA debit card to cover non-standard medical expenses.
  • 10 paid holidays
  • Flexible paid leave time
  • Friday Happy Hour and other fun company events
Senior Software Engineer

Their engineers are passionate about technology. They thrive on solving intense technical challenges. They build a highly scalable real-time data analytics platform. You’ll design and architect the pipeline for data ingested from multiple sources. We are looking for creative, results-driven developer who is excited about big, fast and flexible data.
 
Responsibilities
  • Build scalable and efficient data pipeline capable of handling petabytes of data
  • Design ETL processes in large-scale environments
  • Integrate new innovative Big Data tools into existent architecture
  • Leverage Java and Ruby to feed our analytics platform
  • Develop efficient, testable and well-documented code
  • Able to easily identify and troubleshoot problems
QUALIFICATIONS
  • Understanding of key data pipeline design principles
  • Hadoop MapReduce and HBase experience
  • Relational database management and SQL expertise
  • Deep knowledge of AWS services like RDS, EMR and S3
  • Comfortable with git
ADDITIONAL INFORMATION

What we're offering:

  • A competitive full-time salary and stock options. We want you to be excited to be a part of a startup, not starve.
  • Fully paid health care, dental and vision insurance for you and your family.
  • Optional FSA debit card to cover non-standard medical expenses.
  • 10 paid holidays
  • 15 paid leave days
  • Friday Happy Hour and other fun company events

 


Liz Dooley Recruiting, LLC


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