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Mission :

Architecture design and implementation around customer-specific use cases Work directly with customer technical resources to devise, recommend and implement solutions based on the understood requirements  Establish security regulations or industry-specific requirements with strong authentication, authorization, data access, audit, and data governance Ensure alignment on project goals and proper knowledge transfer to the internal staff Identify inefficient procedures, bottlenecks, single-point-of-failures (SPOF) or security weaknesses and provide recommendations/best practices to make Big Data solutions more performing, reliable and secure Design and implement Enterprise Data Cloud architectures and configurations for customers  Recommend best practice design patterns for distributed data pipelines and analytical computing architectures

Requirements :

5+ years of Cloudera/Hadoop experience Cloudera (CDH5, CDH6, CDSW, Altus) Cluster design and deployment: on-premise, cloud (IaaS/PaaS) on AWS & Azure, or hybrid environments Security hardening and integration with corporate systems System administration and automation Experience with Performance tuning of Cloudera clusters DWH and analytics: Hive, Impala, SQL Development, Spark, BI/DataViz tools integration Deep knowledge of the Data/Big Data business domain  Knowledge of scripting tools such as bash shell scripts, Python or Perl

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