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Spark Hadoop Data Engineer

Job ID : 15328

Job Title : Spark Hadoop Data Engineer

Location : Irving, TX

Company Name : NTT Data

Industry : Information Technology

Salary : $76,690 - $128,917  per year

Job Type : Fulltime

Posted on: 2020-09-01

Required Skills : SQL, Hive, Hadoop, PySpark, Scala, Python

Benefits : No benefits are available

Duties and Responsibilities:

  • Analyze and understand  data sources & APIs
  • Design and Develop methods to connect & collect data from different data sources
  • Design and Develop methods to filter/cleanse the data
  • Design and Develop SQL, Hive queries, APIs to extract data from the store
  • Work closely with data scientists to ensure the source data is aggregated and cleansed
  • Work with product managers to understand the business objectives
  • Work with cloud and data architects to define robust architecture in cloud setup pipelines and workflows
  • Work with DevOps to build automated data pipelines
  • Hands-on experience with the Hadoop eco-system (HDFS, MapReduce, Yarn, Hive, Pig, Impala, Spark, Kafka,)
  • Good understanding of ETL tools like Ab-initio, Talend
  • Familiarity with  HTTP and invoking web-APIs
  • Exposure to machine learning engineering
  • Exposure to NLP and text processing
  • Experienced in managing work with distributed teams
  • Experience working in SCRUM methodology
  • Proven sense of high accountability and self-drive to take on and see through big challenges
  • Confident, takes ownership, willingness to get the job done
  • Excellent verbal communications and cross-group collaboration skills

Basic Qualification:

  • 3+ years of Advanced knowledge of Hadoop ecosystem and Big Data technologies
  • 3+ years of experience and expert-level knowledge building pipelines using Spark /Pyspark
  • 3+ years of experience in programming in Scala and Python          


  • Bachelor’s Degree in Computer Science or related discipline required.


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