Senior Engineer, Big Data (Hadoop, SRE)

Company Name: Sizmek
Location: Redwood City, California
Date Posted: 16th Jan, 2018


  • This is a hands on role with leadership responsibilities on a large multi-tenant Analytics Hadoop Cluster
  • Provide technical leadership and collaboration with engineering organization, develop key deliverables for Data Platform Strategy - Scalability, optimization, operations, availability, roadmap.
  • Own the platform architecture and drive it to the next level of effectiveness to support current and future requirements
  • Manage and mentor Hadoop engineers and administrators
  • Tune performance and operational efficiency
  • Formulate methods to enable consistent Data loading and optimize Data operations
  • Evaluate and introduce technology tools and processes to streamline operation of the data platform and for streamlining use case execution
  • Meet performance and SLA requirements of the Hadoop clusters
  • Prior experience with remote monitoring and event handling using Nagios
  • Design metrics and monitor real-time performance of clusters
  • Evaluate and recommend systems software and hardware for the enterprise system including capacity modeling 


  • 10+ years' experience as a technical lead with focus on open source and Petabyte range data implementations. 5+ years of experience as technical lead for a Hadoop/Big Data implementation
  • Expertise with YARN, Spark,  Kafka, Storm, Zookeeper, Hive, Hbase
  • Experience in optimization, capacity planning & architecture of a large multi-tenant cluster
  • Expertise with one or more of the following languages: Python, Scala, Java, Perl, Ruby, or Bash.
  • Experience with multiple open source tool sets in the Big Data space
  • Experience in tool Integration, automation, configuration management in GIT (Puppet)
  • Excellent verbal and written communication and presentation skills, analytical and problem solving skills