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    Data Engineer - Houston, United States - Kaizen Technologies

    Kaizen Technologies
    Kaizen Technologies Houston, United States

    6 days ago

    Default job background
    Technology / Internet
    Description

    Job Title: Data Engineer (Full time)

    Location: Houston, TX (Onsite) USA

    Band: U3

    Year of Experience: 5 to 7 Years

    Duration: 6 Months (Will be extended for 12 months)

    No Of Positions: positions is needed in a month time.) in one Quarter time.

    110K to 130K PA

    Responsibilities- High Level

    1. Connect and Collect data exploration and preparation.
    2. Transform and Enrich data representation and transformation.
    3. Publish and Serve Publish data.
    4. Monitor data pipelines and solutions

    Responsibilities- Detail

    • Developing, building, maintaining, and managing data pipelines work with large dataset, databases and software used to analyze them. Fluent with Azure data tools and component. Primary focus to ensure that data flows smoothly from its source to its destination efficiently and securely.
    • Demonstrate experience in programming scripting (e.g. Python, SQL).
    • Demonstrate experience Analytics/data product solution architecture on Azure (Azure data Factory, Data bricks).
    • Handson experience in data extract, load and transformation techniques and tools including orchestration of needed azure resources.
    • Ensuring the accuracy of data and promoting data quality.
    • Building, testing, and maintaining database pipeline Architecture.
    • Demonstrated experience in Data and Software Engineering tools and Agile methodologies (e.g. Agile, ADO,Ansible,G/T)
    • Demonstrated experience in Analytica Data framework and Azure Analysis Services

    Skills:

    • Modern Data Warehousing
    • Data flow transformations
    • Implement and design data engineering and integration patterns: messaging, shared databases, file, service based.
    • Data security design - authorization, sharding, allocations, authentication
    • Database systems and large-scale processing systems
    • Consume and develop data-driven APIs.
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