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Job Id : 14672

Jobtitle : Big Data Developer

Location : Plano, TX

Company Name : Fisher Investments

Industry : Information Technology

Salary : $18,000 - $175,000  PER YEAR

Job type : Fulltime

Posted on: 2020-06-29

Required Skills : Cloudera Data Platform (CDP), Sqoop, Nifi, Hive, HiveQL, Impala, Ranger, Spark And Spark SQLCloud Development Using Microsoft Azure

Benefits : No benefits are available

Job Description :


Responsibility :


  • Take part in development projects on Cloudera Data Platform (CDP) platform
  • Support existing Cloudera applications, monitor performance and tune clusters (e.g. Hive, ETL jobs, Sqoop, NiFi, Spark and etc)
  • Partner with business stakeholders and technology partners to translate business requirements into efficient and robust technology solutions
  • Adhere to existing policies and procedures including SDLC, architecture standard, information security and compliances
  • Learn new tools and expand big data functionalities by implementing additional Hadoop and Spark ecosystem components to meet evolving business needs
  • Develop training materials and provide training to internal IT and business users
  • Evaluate new releases and features of Cloudera platform, provide recommendation on upgrade and impact analysis
  • Provide after-hour system and application support as needed




  • Bachelor’s degree or equivalent in MIS, Computer Science, Engineering or related discipline
  • 3+ years of experience as a Cloudera/Hadoop/Spark Developer
  • Cloudera or Hortonworks Developer Certification (CCP Data Engineer, CCA Spark and Hadoop Developer or Hortonworks Certified Developer)
  • Knowledge of Linux and Windows servers, bash shell scripting
  • Knowledge of relational database structures, theories and practices
  • Demonstrated experience in data modelling, design and implementation of adding new datasets into the cluster
  • Experience with:
    • Cloudera Data Platform (CDP), Sqoop, Nifi, Hive, HiveQL, Impala, Ranger, Spark and Spark SQLCloud development using Microsoft Azure
    • One or more languages: Java, Scala or Python
    • CI/CD, Kafka, tokenization, or Machine Learning is a plus

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