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    Big Data Engineer - Gurugram, India - Huquo

    Huquo
    Default job background
    permanent Technology / Internet
    Description

    Must-Have :

    • 5+ years of experience in Software and IT industry
    • 3 + years of relevant work experience in data engineering
    • Hands on in Python/Scala data engineering application development
    • Hands on in developing streaming application.
    • Knowledge on Test automation and scripting
    • Experience with CI/CD process and tools (GIT, Jenkins, SonarQube)
    • Good track record in system architecture and design
    • Good aptitude, strong problemsolving abilities, and analytical skills, ability to take ownership as appropriate.
    • Should be able to do coding, debugging, performance tuning, and deploying the apps to the Production environment.
    • Experience working in Agile Methodology
    • Ability to learn and help the team learn new technologies quickly.
    • Excellent communication and coordination skills
    • Must be able to integrate quickly into the team and work independently towards team goals.
    • Should be comfortable working in a Hybrid model from the Bangalore office of the client.

    Role & Responsibilities :

    • Build spark data pipelines from existing legacy pipelines.
    • Build CI, CD pipelines.
    • Take complete responsibility for the project execution.
    • Be accountable for the delivery of the project within the defined timelines with good quality.
    • Define and follow the processes for project execution and delivery.
    • Drive and motivate the team to be agile and follow agile methodology.
    • Help the team technically and give the team direction on how to plan, design, implement, and deliver the projects.
    • Involve the team during the brainstorming sessions as appropriate.
    • Work with the clients and counterparts (in the US) to drive the project execution.
    • Keep all the stakeholders updated about the project status/risks/issues if there are any.
    • Work closely with the management wherever and whenever required, to ensure smooth execution and delivery of the project.
    )

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