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    Python Developer - Chicago, United States - HexaQuEST Global, Inc.

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    Description

    Job Description:

    Sr Python developer who can support an enterprise client-facing web application that is developed by third-party vendor.

    He will be the sole person to support this app, while we build a team around him (additionally 1 offshore dev in training and 1 other tester).

    The application itself is vendor-owned but managed and supported by the bank and is deployed on the bank infrastructure.

    Looking for an all-round experience who can review code and find issues while triaging, and have deep engineering knowledge of infrastructure (app-host and Apache) and containerization.

    Proficiency/experience with containers (OpenShift/Kubernetes )


    • Direct activities of a team related to special initiatives or operations.


    • Experience with Oracle/Exadata; ability to navigate and write optimized SQL queries
    • Understanding and usage of DevOps processes for the build and deployment
    • 2+ years of experience working in Agile teams (Preferably Scaled Agile)
    • CI/CD in Openshift/ Kubernetes would be an added advantage
    • Positive attitude, ability to be flexible, and work in a team in a fast-paced project environment.
    • Willingness to be accountable for meeting all deliverable dates for task assignments.
    • Knowledge of business and industry processes
    • Ability to mentor and guide junior developers on the team
    • Excellent analysis and troubleshooting skills
    Master's degree in Computer Science or related field.


    • Experience with No-SQL (Elastic, MarkLogic, MongoDB), etc.


    • Backend developer in J2EE technologies and frameworks like Spring, JDBC, SOAP/REST API, etc. for integration.
    • Prefer candidates with a well-rounded career history working with large private and public enterprise systems with large number of users and processing large data sets in critical enterprise systems


    • Development experience in Big data and knowledge of the Hadoop stack (Scala, Spark, PySpark)

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