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Accenture Internship Program – Data Engineering In Evanston

    Website Accenture

    Job Description:

    Accenture Applied Intelligence, the people who love using data to tell a story. We’re also the world’s largest team of data scientists, data engineers, and experts in machine learning and AI. A great day for us Solving big problems using the latest tech, serious brain power and deep knowledge of just about every industry. We believe a mix of data, analytics, automation and responsible AI can do almost anything—spark digital metamorphoses, widen the range of what humans can do and breathe life into smart products and services. Want to join our crew of sharp analytical minds Visit us here to find out more about Applied Intelligence.

    Job Responsibilities:

    • Apply methodology, reusable assets, and previous work experience so that your work is always of high quality
    • Assess the full technology stack of services needed including PaaS (Platform-as-a-Service), IaaS (Infrastructure-as-a-Service), SaaS (Software-as-a-Service), operations, management and automation
    • Interact mainly with your direct supervisor and be ready to interact with peers and/or managers on the client side and/or within Accenture
    • Make your own decisions to define solutions and ask for guidance on complex problems requirements, and “as is” and “to be” scenarios
    • Keep up to speed on new and emerging technologies/patterns/methodologies and products that may be of interest to our clients
    • Compare alternative solutions from both technical and business perspectives which support the define-cost and service requirements

    Job Requirements/Qualifications:

    • Minimum of 1 year of experience in Big Data/analytics/information analysis/database management/ event-driven/microservices/DevOps/ML Ops in the cloud
    • Minimum of 2 years hands-on experience within the cloud environment (specifically AWS, Azure and/or GCP)
    • Minimum of 1 year of hands-on experience with any of the following programming languages: PySpark, Python, Java, R, Scala, Go
    • Minimum of 1 year in a client and/or project setting that encompasses full SDLC as well as professional experience in solution/technical architecture in the cloud

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