Exl Service

  • Manager, Data Engineer / Big Data Developer

    Job Location US-NJ-Jersey City
    ID
    2018-6036
    Group
    EXL Consulting
    Type
    Regular Full-Time
  • Overview

    EXL Consulting continues to spearhead its role in driving its “Digital Made Real” message across its client base. This is your opportunity to be a part of these exciting times to drive industry shaping transformation. Come and join us if you are:

    • Excited and looking forward to the next stage of digital transformation
    • Passionate in technologies and striving to make a difference with the aid of automation & intelligent operations
    • Interested to make an impact by helping industry-leaders elevating their business efficiency
    • Enjoy being in the community of great and enthusiastic people who share goals and accomplishments
    • Striving to perform, inspire, progress and achieve more

     

     

     

    Responsibilities

    • Responsible for expanding and optimizing our data and data pipeline architecture.
    • Optimizing data flow and collection for cross functional teams.
    • Must build data pipeline and optimize data sytsems and build them from the ground up.
    • Supports software development, database architects, data analysts and data scientists on data initiatives

    Qualifications

     

    • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
    • Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
    • Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
    • Assemble large, complex data sets that meet functional / non-functional business requirements.
    • Experience in software applications development to support business units or supporting functions
    • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
    • Strong analytic skills related to working with unstructured datasets.
    • Build processes supporting data transformation, data structures, metadata, dependency and workload management.
    • A successful history of manipulating, processing and extracting value from large disconnected datasets.
    • Strong project management and organizational skills.
    • Experience supporting and working with cross-functional teams in a dynamic environment.
    • Experience with big data tools: Hadoop, Spark, Kafka, etc.
    • Experience with relational SQL and NoSQL databases.
    • Experience with stream-processing systems: Storm, Spark-Streaming, etc.
    • Experience with object-oriented/object function scripting languages: Python, Java, Scala, etc.

     

     

    EEO Statement

    EEO/Minorities/Females/Vets/Disabilities

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