Hadoop Developer

  • location: Smithfield, RI
  • type: Contract
  • salary: $60 - $62 per hour
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job description

Hadoop Developer

job summary:
The expertise we're looking for

  • Bachelor's degree or higher in a technology related field (e.g. Engineering, Computer Science, etc.) required, Master's degree a plus
  • 8+ years of hands-on experience in architecting, designing and developing highly scalable distributed data processing systems
  • 5+ years of hands-on experience in implementing batch and real-time Big Data integration frameworks and/or applications,
  • 2+ years of hands-on experience in one or more modern Object Oriented Programming languages (Java, Scala, Python)
  • 3+ years of experience with DevOps, Continuous Integration and Continuous Delivery (Jenkins, Stash).
  • Experience and comfort executing projects in Agile environments (Kanban and Scrum).
Candidate Description

  • In-depth understanding of Hadoop Echo System & HDFS File System
  • Experience with Hive & Impala (must have minimum three years hands on experience)
  • Working experience with Oracle databases, PLSQL Programming is must
  • Experience with data ingestion tools SQOOP
  • Working experience with ETL Informatica.
  • Experience with Spark - Understanding of Spark architecture and internals.
  • Experience with ETL using Spark SQL &
  • Experience with cloudera distributed version of Hadoop
  • Exposure/Knowledge of streaming apps like Kafka and/or Flume is an advantage
  • Experience with shell scripting, control M
Behavioural Attributes

  • Extremely good interpersonal skills with ability to work with cross functional teams located across geographies
  • Good interpersonal and client-handling skills with the ability to manage expectations and explain technical detail.
  • Ability to multitask, prioritizes tasks, and quickly adjusts in a rapidly changing environment.
  • Ability to work effectively with geographically dispersed team.
  • Ability to handle complex information with accuracy and attention to detail.
  • A methodical, investigative and inquisitive mind; together with creative abilities.
  • Excellent conflict management and negotiation skills
  • Eager to learn and continuously develop personal and technical capabilities.
  • High level of commitment, initiative, vision and enthusiasm
  • Professional approach to time, costs and deadlines.
Education and Experience

  • Bachelor degree in Computer Science or Information Technology
  • 5+ years of experience designing and developing largescale Big Data engineering applications,
  • 10+ Years of IT experience
 
location: Smithfield, Rhode Island
job type: Contract
salary: $60 - 62 per hour
work hours: 9 to 5
education: Bachelors
 
responsibilities:
The expertise we're looking for

  • Bachelor's degree or higher in a technology related field (e.g. Engineering, Computer Science, etc.) required, Master's degree a plus
  • 8+ years of hands-on experience in architecting, designing and developing highly scalable distributed data processing systems
  • 5+ years of hands-on experience in implementing batch and real-time Big Data integration frameworks and/or applications,
  • 2+ years of hands-on experience in one or more modern Object Oriented Programming languages (Java, Scala, Python)
  • 3+ years of experience with DevOps, Continuous Integration and Continuous Delivery (Jenkins, Stash).
  • Experience and comfort executing projects in Agile environments (Kanban and Scrum).
Candidate Description

  • In-depth understanding of Hadoop Echo System & HDFS File System
  • Experience with Hive & Impala (must have minimum three years hands on experience)
  • Working experience with Oracle databases, PLSQL Programming is must
  • Experience with data ingestion tools SQOOP
  • Working experience with ETL Informatica.
  • Experience with Spark - Understanding of Spark architecture and internals.
  • Experience with ETL using Spark SQL &
  • Experience with cloudera distributed version of Hadoop
  • Exposure/Knowledge of streaming apps like Kafka and/or Flume is an advantage
  • Experience with shell scripting, control M
Behavioural Attributes

  • Extremely good interpersonal skills with ability to work with cross functional teams located across geographies
  • Good interpersonal and client-handling skills with the ability to manage expectations and explain technical detail.
  • Ability to multitask, prioritizes tasks, and quickly adjusts in a rapidly changing environment.
  • Ability to work effectively with geographically dispersed team.
  • Ability to handle complex information with accuracy and attention to detail.
  • A methodical, investigative and inquisitive mind; together with creative abilities.
  • Excellent conflict management and negotiation skills
  • Eager to learn and continuously develop personal and technical capabilities.
  • High level of commitment, initiative, vision and enthusiasm
  • Professional approach to time, costs and deadlines.
Education and Experience

  • Bachelor degree in Computer Science or Information Technology
  • 5+ years of experience designing and developing largescale Big Data engineering applications,
  • 10+ Years of IT experience
 
qualifications:
The expertise we're looking for

  • Bachelor's degree or higher in a technology related field (e.g. Engineering, Computer Science, etc.) required, Master's degree a plus
  • 8+ years of hands-on experience in architecting, designing and developing highly scalable distributed data processing systems
  • 5+ years of hands-on experience in implementing batch and real-time Big Data integration frameworks and/or applications,
  • 2+ years of hands-on experience in one or more modern Object Oriented Programming languages (Java, Scala, Python)
  • 3+ years of experience with DevOps, Continuous Integration and Continuous Delivery (Jenkins, Stash).
  • Experience and comfort executing projects in Agile environments (Kanban and Scrum).
Candidate Description

  • In-depth understanding of Hadoop Echo System & HDFS File System
  • Experience with Hive & Impala (must have minimum three years hands on experience)
  • Working experience with Oracle databases, PLSQL Programming is must
  • Experience with data ingestion tools SQOOP
  • Working experience with ETL Informatica.
  • Experience with Spark - Understanding of Spark architecture and internals.
  • Experience with ETL using Spark SQL &
  • Experience with cloudera distributed version of Hadoop
  • Exposure/Knowledge of streaming apps like Kafka and/or Flume is an advantage
  • Experience with shell scripting, control M
Behavioural Attributes

  • Extremely good interpersonal skills with ability to work with cross functional teams located across geographies
  • Good interpersonal and client-handling skills with the ability to manage expectations and explain technical detail.
  • Ability to multitask, prioritizes tasks, and quickly adjusts in a rapidly changing environment.
  • Ability to work effectively with geographically dispersed team.
  • Ability to handle complex information with accuracy and attention to detail.
  • A methodical, investigative and inquisitive mind; together with creative abilities.
  • Excellent conflict management and negotiation skills
  • Eager to learn and continuously develop personal and technical capabilities.
  • High level of commitment, initiative, vision and enthusiasm
  • Professional approach to time, costs and deadlines.
Education and Experience

  • Bachelor degree in Computer Science or Information Technology
  • 5+ years of experience designing and developing largescale Big Data engineering applications,
  • 10+ Years of IT experience
 
skills:

The expertise we're looking for

  • Bachelor's degree or higher in a technology related field (e.g. Engineering, Computer Science, etc.) required, Master's degree a plus
  • 8+ years of hands-on experience in architecting, designing and developing highly scalable distributed data processing systems
  • 5+ years of hands-on experience in implementing batch and real-time Big Data integration frameworks and/or applications,
  • 2+ years of hands-on experience in one or more modern Object Oriented Programming languages (Java, Scala, Python)
  • 3+ years of experience with DevOps, Continuous Integration and Continuous Delivery (Jenkins, Stash).
  • Experience and comfort executing projects in Agile environments (Kanban and Scrum).
Candidate Description

  • In-depth understanding of Hadoop Echo System & HDFS File System
  • Experience with Hive & Impala (must have minimum three years hands on experience)
  • Working experience with Oracle databases, PLSQL Programming is must
  • Experience with data ingestion tools SQOOP
  • Working experience with ETL Informatica.
  • Experience with Spark - Understanding of Spark architecture and internals.
  • Experience with ETL using Spark SQL &
  • Experience with cloudera distributed version of Hadoop
  • Exposure/Knowledge of streaming apps like Kafka and/or Flume is an advantage
  • Experience with shell scripting, control M
Behavioural Attributes

  • Extremely good interpersonal skills with ability to work with cross functional teams located across geographies
  • Good interpersonal and client-handling skills with the ability to manage expectations and explain technical detail.
  • Ability to multitask, prioritizes tasks, and quickly adjusts in a rapidly changing environment.
  • Ability to work effectively with geographically dispersed team.
  • Ability to handle complex information with accuracy and attention to detail.
  • A methodical, investigative and inquisitive mind; together with creative abilities.
  • Excellent conflict management and negotiation skills
  • Eager to learn and continuously develop personal and technical capabilities.
  • High level of commitment, initiative, vision and enthusiasm
  • Professional approach to time, costs and deadlines.
Education and Experience

  • Bachelor degree in Computer Science or Information Technology
  • 5+ years of experience designing and developing largescale Big Data engineering applications,
  • 10+ Years of IT experience

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

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