Lead BI Engineer

Employer
Location
Minneapolis, Minnesota, United States
Posted
Feb 18, 2017
Closes
Apr 23, 2017
Category
Business, Engineering
Employment Status
Full Time
Primary skills:
  • 4+ years Hadoop platform experience
  • Map reduce, PIG, SQOOP, HIVE, SPARK, HADOOP Connectors, Linux , Knowledge of KAFKA, Cassandra and Hbase along with Java
  • Devops
  •  Demonstrated experience with design, development and implementation of large scale data systems using Hadoop (Cloudera or HortonWorks).
  • Experience with design of data integation using ETL, ELT and other data Integration patterns.
  • Development experience with Teradata, Oracle SQL, PL/SQL or any other query language.
  • Experience with Java, Python is highly desirable
  •  Ability to work with peers, technical and non-technical team members on POCs and projects independently.  
  •  Ability to analyze business direction and problem, understand long term vision and develop strategy, guide with technical solutions.
  •  Hands on - deliver projects, programs with high quality and on time that create significant impact to our business.
  • Analyze diverse business problems and design high quality & innovative solutions using Big data, Hadoop for product lines working in partnership with Product Manager
  •  Effectively lead technology discussions with business partners and other external parties.
  •  Actively participate in product release cycle, daily stand up, design and code review.
  • Mentor and provide proactive technical oversight, advice development teams fostering re-use, design for scale, stability, and operational efficiency of data/analytical solutions.
  • Build and maintain effective relationships with product managers, and development team for individual products.
  • Evaluate and recommend technology and frameworks for building cross product data assets to optimize for flexibility, long-term viability, and time to market.
  • Keep current with technology and contribute towards IT blueprint, frameworks and technologies that would benefit us and improve our productivity.

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