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    Data Engineer - Chicago, United States - Saxon Global

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    Description

    Key Accountabilities:

    • Contributions include python and AWS development to build,enhance and maintain monitoring capabilities.
    • Develop datasets and microservices in support of new monitoring solutions and automations to accelerate issue detection and correction.
    • Transformation of data to enable machine learning and/or monitoring of an omalies.
    • Consumption of meta data to enable an omaly alarms and monitoring.
    • Responsible for performing other job duties as assigned by client management from time to time.
    • Liaise with designers, engineers, and support teams to improve data pipeline performance and reliability.
    • Team's independently and collaborate with internal team and crossfunctional teams via Teams meetings, chat ,and/or email.
    Required Skills:
    • Bachelor's degree in computer programming or a relevant field required.
    • Python, AWS and microservices experience.
    • 5-7years ' experience required.
    • Four years or more of experience in data engineering and/or software development.
    • Three years or more of experience with development, operations, or architecture in AWS using Python.
    • Experience with development and delivery of microservices using serverless AWS services(S3,RDS, Aurora, DynamoDB, Lambda, SNS, SQS, Kinesis, IAM).
    • Strong competency in testing, including unit testing to coverage standards and integration testing.
    • Verbal and written communication skills, problem solving skills, customer service and interpersonal skills.
    • Basic ability to work independently and manage one's time.
    • Software development experience with object- oriented development and design patterns is a plus.
    • Familiarity with machine learning and data design to support machine learning.
    • Ability to work collaboratively in a complex, rapidly changing, and culturally diverse environment.
    • Comfortable working in a dynamic environment where digital is still evolving as a core offering.


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