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Data Engineering Manager


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Portland, OR, United States 


Analytics, AWS - Amazon Web Service, Big Data Analytics, Big Data Appliance Skills, Big Data Architect, Big Data BI, DataWarehouse, ETL Developer

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Job Description:

* Masters or Bachelors in Computer Science or a related field.
* 10+ years of experience with relevant technologies and of enterprise class systems implementations, such as large data warehouse, ETL, BI Application/Stack, Big Data.

* 2+ years' experience managing an Analytics or Data Engineering team.
* Strong data modelling skills and excellent knowledge of Oracle SQL, Map Reduce.
* Strong understanding of scaling, performance and scheduling. 
Preferred Qualifications 

* Experience with distributed computing (Hive/EMR Hadoop) a plus.
* Experience leading design and development of open data platforms using AWS technologies.
* Retail or ecommerce experience is a plus.

Job Requirements:

We are seeking a Data Engineering Manager who is driven, focused, and passionate about leading a team of data engineers . 
  • Within the data warehouse community, Technologies team represents an elite squad dedicated to pushing the technology and boundaries farther than any other company. 
  • Our plans focus on delivering timely and actionable information to the business who utilizes this technology as a competitive advantage in analyzing and understanding consumer behavior, sales trends and unique opportunities within the web community. 

  • Some of the problems we need to solve in this space are: humongous scale and volumes of data and resource management for millions of jobs on hundreds of clusters, data distribution and synchronization of hundreds of datasets across hundreds of clusters, and ensuring that those millions of jobs are executed and completed on set SLAs.

  • You will lead a team focused on driving and executing challenging data engineering problems to our customers and build next generation data platform for
  • Primary responsibilities will include managing a team of data engineers, interviewing, training and building a strong team, ongoing development of standard operating procedures and accountability for setting and meeting DW goals. 
  • You will clearly articulate, through data, productivity gains achieved.
  •  An ideal candidate for this role will have prior experience managing multiple customer-facing teams, lot of experience in heterogeneous technologies in DW space (map/reduce, columnar DBs etc) and will be capable of technical deep-dives yet verbally and cognitively agile enough to participate in strategy discussions with  senior management team.

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