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    Analytics Engineer - Delhi, India - Huquo Consulting

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    Description

    Job Description :
    Have a good exposure in Python and R tools.

    • Strong hands on experience in Autosys/Automation.
    • Structure analytical solution to address business objectives and problem solving
    • Translate stated or implied client needs into researchable hypotheses.
    • Develop sophisticated analysis plans to test those hypotheses given data and resource availability, time, etc by using advanced machine learning algorithms
    • Facilitate client working sessions and lead recurring project status meetings
    • Develop longlasting, trusted advisor relationships with clients
    • Able to work in dual shore engagement across multiple time zones
    • Manage business uncertainty
    • Assess customer needs, pain points, behaviors, activation levers, headroom for growth, value propositions
    • Manage daytoday project operations, serve as the functional and domain expert in the project team to ensure client expectations are met

    Responsibilities :

    • Responsible for setting up, maintaining, and evolving the cloud infrastructure of web applications
    • Expected to understand the core AWS services and apply best practices regarding security and scalability
    • Understand the current application infrastructure and suggest changes to it
    • Define and document best practices and strategies regarding application deployment and infrastructure maintenance
    • Migrate our infrastructure with zero downtime to a highly available, scalable one
    • Set up a monitoring stack
    • Define service capacity planning strategies
    • Implement the application's CI/CD pipeline using the AWS CI/CD stack
    • Write infrastructure as code using CloudFormation or similar
    • Project tasks deliverables and management
    • Deliver on project progress and ensure adherence to client expectation
    • Communications, including deck writing
    • Delivery of output
    • Gathering of client feedback on problem structuring
    • Understand and define business problems, get all background information and collect relevant data points
    • Create solution hypothesis and get client buy in, discuss and align on end objective, staffing need, timelines and budget
    )


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