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    Big Data Developer Lead - Dallas, United States - NR Consulting

    NR Consulting
    NR Consulting Dallas, United States

    3 weeks ago

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    Description

    Job Title:
    Big Data Engineer Tech Lead

    Duration:
    FTE / Permanent Hiring


    Location:
    Dallas TX

    Description:


    Education:
    Minimum Bachelor's degree in Computer Science, Engineering, Business Information Systems, or related field. Masters in Computing related to scalable and distributed computing is a major plus


    Key Responsibilities:


    • Develop Big Data applications using PySpark or Scala-Spark on Hadoop, Hive and/or Kafka, HBase, MongoDB
    • Build Feature Engineering, Scoring / Machine Learning models
    • Deployment on Cloud platforms

    Experience & Skillset
    MUST-HAVE


    • Total IT / development experience of 12+ years
    • strong Banking / Regulatory exposure + BA-type approach to leading projects.
    • Experience in PySpark or Spark-Scala developing Big Data applications on Hadoop, Hive and/or Kafka, HBase, MongoDB
    • Technical leadership and Onsite-Offshore coordination
    • Deep knowledge of Spark libraries on Python or Scala to develop and debug complex data engineering challenges
    • Experience in developing sustainable data driven solutions with current new generation data technologies to drive our business and technology strategies
    • Exposure in deploying on Cloud platforms
    • At least 4 years of development experience on designing and developing Data Pipelines for Data Ingestion or Transformation using PySpark or Spark-Scala
    • At least 5 years of development experience in the following Big Data frameworks: File Format (Parquet, AVRO, ORC), Resource Management, Distributed Processing and RDBMS
    • At least 4 years of developing applications in Agile with Monitoring, Build Tools, Version Control, Shell Scripting, Unit Test, TDD, CI/CD, Change Management to support DevOps
    • Prior experience on ETL or SQL or other Data technologies

    GOOD-TO-HAVE


    • Banking domain knowledge
    • Hands-on experience in SAS toolset / statistical modelling migrating to Machine Learning models
    • Digital Marketing Machine Learning models and use cases
    • ETL / Data Warehousing and Data Modelling experience prior to Big Data experience
    • Deep knowledge on AWS stack for big data and machine learning
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