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    Data Engineer Intern - Chicago, United States - CME Group

    CME Group background
    Full time
    Description

    CME Group is currently looking for a Data Science summer intern.

    This candidate will assist the Data Science team on day-to-day activities in support of Data Engineering such as building python and bigquery based ETL applications, build bigquery SQLs to enhance business users experience with GCP datasets.

    Principal Accountabilities:
    • Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
    • Create and maintain optimal data pipeline architecture,
    • Assemble large, complex data sets that meet functional / non-functional business requirements.
    • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and GCP 'big data' technologies.
    • Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.


    Skills / Software Requirements:
    • Working SQL knowledge and experience working with relational databases, NO-SQL, Columnar datastructures query authoring (SQL) as well as working familiarity with a variety of databases.
    • Experience building and optimizing 'big data' data pipelines, architectures and data sets.
    • Experience with Python programming language.
    • Having experience in any of the following software/tools is bonus:
      • Experience with big data tools: Hadoop, Spark, Kafka, etc.
      • Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
      • Experience with data pipeline and workflow management tools: Argo, Airflow, etc.
      • Experience with GCP cloud services: Bigquery, Cloud Storage, GKE, Vertex AI Pipelines
      • Experience with DevOps technologies : Terraform, Jenkins
    Education:
    • Actively enrolled in a Graduate program in Computer Science, Statistics, Data Engineer/ Data Science / Data Analytics, Informatics, Information Systems or another quantitative field.

    Other Requirements:
    • Hybrid Schedule - able to come into the CME Group Chicago office.
    • Able to work 40 hours per week


    CME Group: Where Futures Are Made

    CME Group ) is the world's leading derivatives marketplace. But who we are goes deeper than that. Here, you can impact markets worldwide. Transform industries. And build a career shaping tomorrow. We invest in your success and you own it, all while working alongside a team of leading experts who inspire you in ways big and small. Problem solvers, difference makers, trailblazers. Those are our people. And we're looking for more.

    At CME Group, we embrace our employees' diverse experiences, cultures and skills, and work to ensure that everyone's perspectives are acknowledged and valued. As an equal opportunity employer, we recognize the importance of a diverse and inclusive workplace and consider all potential employees without regard to any protected characteristic.
    The Candidate Privacy Policy can be found here.


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