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    Data Engineer - Delhi, India - Triumph Ladders Pvt. Ltd.

    Triumph Ladders Pvt. Ltd.
    Triumph Ladders Pvt. Ltd. Delhi, India

    3 weeks ago

    Default job background
    permanent Technology / Internet
    Description
    Title - Data Engineer

    Exp yrs

    Location - Delhi

    Notice period days


    Responsibilities :

    • Collaborate with Data Scientists to test and scale new algorithms through pilots and later industrialize
    the solutions at scale to the comprehensive fashion network of the Group

    • Influence, build and maintain the largescale data infrastructure required for the AI projects, and
    integrate with external IT infrastructure/service to provide an e2e solution

    • Leverage an understanding of software architecture and software design patterns to write scalable,
    maintainable, well-designed and future-proof code

    • Maintain a catalog of all data assets (what data is available where). Be a single point source for all data related queries
    • Building and maintaining datalake for consumption by AA models and visualization tools by integrating data from multiple sources
    • Provide inputs in deciding dataschemas
    • Design, develop and maintain the framework for analytical pipeline
    • Develop common components to address pain points in machine learning project, like model lifecycle
    management, feature store and data quality evaluation

    • Provide input and help implement framework and tools to improve data quality
    • Work in crossfunctional agile teams of highly skilled software/machine learning engineers, data scientists, designers, product managers and others to build the AI ecosystem within the Group
    • Deliver on time, demonstrating strong commitment to deliver on the team mission and agreed backlog

    Skills and Abilities :

    • Ability to transform proof of concept machine learning models into scalable solutions
    • Ability to apply software development best practice into machine learning project, including unit test, DevOps integration, release management, test driven development, etc.
    • Experience in any one BI/ETL tool preferred (Informatica//SAP BW/Cognos BI)
    • Experience with building complex data lakes and pipelines.
    • Experience with Azure Synapse, Azure Data Lake (Azure Data Factory, Azure Data Bricks, Blob Storage, etc.) and Python required.
    • Experience with at least one data visualization tools (e.g. Tableau/PowerBi/open source analytics) preferred
    • Ability to automate development process of machine learning project by leverage state of art tools and technology like container, continuous integration and delivery, orchestration tools etc.
    • Good understanding and experience with software design principle and design pattern
    • Good understanding of Agile and scrum methodology, keep team focus on deliver business value

    Education :
    Bachelors or masters in Computer Science or Engineering

    • Work Experience
    • Proven working experience as a Data Engineer with 35 years of relevant experience.
    • Experience in Pharma will be a plus.
    • Functional Knowledge
    • Machine Learning
    • DevOps and continuous integration
    • Agile wow and testdriven development
    • Distributed computing
    • Linux, Spark and Hadoop eco system


    • Azure Analytics

    • Azure Data Factory, Azure Data
    • Bricks, Block Blob Storage, Azure DevOps, Azure Synapse
    • Software development best practices
    • Python/Scala/Java
    • Docker, Kubernetes
    - .Net 5.0

    • Data structure and algorithm
    • RDBMS and NoSQL databases, good skill with SQL
    • React native
    • Tableau/ Open source analytics
    )
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