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Big Data Engineer

Location : Mountain View, CA


  • Translate complex functional and technical requirements into detailed design
  • Design for now and future success
  • Hadoop technical development and implementation
  • Loading from disparate data sets by leveraging various big data technology e.g Kafka
  • Pre-processing using Hive, Impala, Spark, and Pig
  • Design and implement data modeling
  • Maintain security and data privacy in an environment secured using Kerberos and LDAP
  • High-speed querying using in-memory technologies such as Spark
  • Following and contributing best engineering practice for source control, release management, deployment etc.
  • Production support, job scheduling/monitoring, ETL data quality, data freshness reporting

Skills Required

Hadoop, SQL, Hive, Scala, Python, Spark, ETL, Some Data Modeling, Should have ETL DWH background, Shell scripting

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