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    Azure Data Engineer - Bengaluru, India - HTC Global Services

    HTC Global Services
    HTC Global Services Bengaluru, India

    Found in: Talent IN 2A C2 - 2 days ago

    HTC Global Services background
    Technology / Internet
    Description

    We are looking for a Data Engineer ,who is self-starter to work in a diverse and fast-paced environment that can join our Enterprise Data team. This is an individual contributor role that is responsible for designing and developing of data solutions that are strategic for the business and built on the latest technologies and patterns.

    Exp : 4- 8 Years

    Location : UB City, Bangalore (Hybrid)

    Mandatory Skill : Azure Data factory ,Azure Data Lake, Python/ Pyspark, SQL

    Responsibilities :


    • Contributes to the design of information infrastructure, and data management processes to move the organization to a more sophisticated, agile and robust target state data architecture


    • Develop systems that ingest, cleanse and normalize diverse datasets, develop data pipelines from various internal and external sources and build structure for previously unstructured data


    • Interfaces with internal colleagues and external professionals to determine requirements, anticipate future needs, and identify areas of opportunity to drive data development


    • Develop good understanding of how data will flow & stored through an organization across multiple applications such as CRM, Broker & Sales, Finance, HR, MDM, ODS, Data Lake, & EDW


    • Develop data & API solutions that enable non-technical staff to make data-driven decisions


    • Design & develop data management and data persistence solutions for application use cases leveraging relational, non-relational databases and enhancing our data processing capabilities


    • Develop POCs to influence platform architects, product managers and software engineers to validate solution proposals and migrate


    • Provide support to the Data Engineering applications


    • Design and develop data lake and API solutions to store structured and unstructured data from internal and external sources and provide technical guidance to help migrate colleagues to modern technology platform

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