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    Data Engineer - Hyderabad, India - Inspire Brands Hyderabad Support Center

    Inspire Brands Hyderabad Support Center
    Inspire Brands Hyderabad Support Center Hyderabad, India

    Found in: Talent IN 2A C2 - 1 day ago

    Default job background
    Technology / Internet
    Description

    Responsibilities:

    • Design, develop and maintain reliable automated data solutions based on the identification, collection and evaluation of business requirements. Including but not limited to data models, database objects, stored procedures and views.
    • Developing new and enhancing existing data processing (Data Ingest, Data Transformation, Data Store, Data Management, Data Quality) components.
    • Support and troubleshoot the data environment (including periodically on call)
    • Document technical artifacts for developed solutions.
    • Good interpersonal skills; comfort and competence in dealing with different teams within the organization. Requires an ability to interface with multiple constituent groups and build sustainable relationships.
    • Versatile, creative temperament, ability to think out-of-the box while defining sound and practical solutions. Ability to master new skills.
    • Proactive approach to problem solving with effective influencing skills.
    • Familiar with Agile practices and methodologies.

    Education and Experience Qualifications:

    • Four year degree in Information Systems, Finance/Mathematics, Computer Science or similar
    • 2-4 years of experience in Data Engineering.

    Required Knowledge, Skills or Abilities:

    Mandatory:

    • Advanced SQL queries, scripts, stored procedures, materialized views, and views.
    • Focus on ELT to load data into the database and perform transformations in the database.
    • Cloud Data Warehouse solutions experience (Snowflake, Azure DW, or Redshift) is a required.
    • Data modeling, analysis, and programming (Python) are a must.
    • Talend, Apache Airflow, Azure Data Factory, Control - M or any orchestration tools.

    Good to have:

    • Experience with DevOps models utilizing a CI/CD tool.
    • Work in hands-on Cloud environment in Azure Cloud Platform (ADLS, Blob)
    • Analyze data models
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