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    Big Data Architect - Dallas, United States - Resource Informatics Group

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    Description
    Job Description

    Job Description


    Role:
    Senior Big Data Architect


    Location:
    Dallas, TX

    Duration: 3 months


    Rates:
    All-Inclusive

    Locals prefer


    Another requirement should be a solid understanding of traditional DW/BI environments and how to migrate them to a Cloudera Hadoop based data lake environment.

    Big Data Architect Skills
    Experience in working with Cloudera Big Data / data lake developments projects
    Demonstrated hands-on experience with Cloudera Hadoop distributions
    Demonstrated work experience with distributed, scalable Big Data programming model and technologies such as Hadoop, Hive, Pig, etc.
    Strong analytical, negotiation, and organizational skills. Clear focus under pressure.
    Good understanding and experience on Spark, Scala, HDFS, HIVE, Impala
    Good understanding of Talend, TAC job server configurations, developing jobs in talend, data profiling, analysis.
    Experience in building complex distributed modern data platforms
    Experience with DATA ingestion/ other ETL tools sqoop etc.
    Able to benchmark systems, analyze system bottlenecks and propose solutions to eliminate them;
    Able to help program and project managers in the design, planning and governance of implementing projects in Big Data
    Serves as an expert consultant to senior IT leadership on Data architecture and enterprise data initiatives
    Strong

    experience/exposure

    across the entire data landscape with the ability to extend traditional data architecture techniques to include big data components. This includes Data Strategy and Architecture development, Data Governance, Master Data Management, Metadata management, Data

    Integration/ingestion,

    Data Quality management, Data modeling, Data warehousing, Business Intelligence and advanced Analytics
    Experience with BIRST is preferred
    Must be Cloudera Hadoop Developer Certified
    Experience with MongoDB
    Exposure to cloud infrastructure

    #J-18808-Ljbffr

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