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Director, Big Data Platform

Mountain View, CA 94043

Posted: 11/02/2018 Industry: Data Development / Management Job Number: 6209

Director, Big Data Platform 

ektello is actively seeking creative, innovative, team-oriented individuals who are passionate about bettering the client’ s brand and its ongoing mission to significantly enhance the way people live, work and play.

Responsibilities
  • Translate complex functional and technical requirements into architecture/platform design.
  • Design for now and future success
  • Big data/Hadoop overall architecture including high availability, disaster recovery, multi-tenancy management, replication etc.
  • Design and implement big data development framework with standardized module to increase ETL development efficiency and quality
  • Design and implement best practice for security and data privacy that adhere to our client’ s business requirement and policy
  • Fine tune overall system performance and continuously identify performance bottleneck/improvement opportunity
  • Provide guidance and support to big data ETL engineer on performance and facilitate ETL performance tuning
  • Following a data driven approach in defining and measuring platform/operation success
  • Production support and operation planning/hardening

Qualifications
  • 10+ years’ experience in designing and implementing high available and high scalable big data systems with Hadoop technology
  • 5-8 years of Python or Java/J2EE development experience with demonstrated technical proficiency
  • 5+ years’ experience in leading data platform and operation team with demonstrated success
  • Full lifecycle project development involving Hadoop and related technologies
  • 5 – 8 Experience overseeing Hadoop environments and operating big data system to enable business success
  • Industry expertise of database structures, theories, principles, and practices.
  • Extensive experience working with AWS components [EC2, S3, SNS, SQS]
  • Analytical and problem-solving skills, applied to Big Data domain
  • Proven understanding and hands on experience with Hadoop, Hive, Pig, Impala, and Spark and other big data technology
  • Demonstrated hands-on success with “ can do” attitude
  • B.S. or M.S. in Computer Science or Engineering

 

Korynn Stark
Technical Recruiter

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