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    ETL Test Engineer - Chicago, United States - Forte Group

    Forte Group
    Forte Group Chicago, United States

    2 weeks ago

    Default job background
    Technology / Internet
    Description

    The ETL Test Engineer (Data) will be responsible for managing all functional and automated testing processes in support of business intelligence development efforts at our CLIENT. From design to implementation, you will partner with our stellar engineering, product, and design teams in a fast-paced, agile environment to transform ideas into reality. Utilizing modern methodologies and open-source tools, you will be empowered to push the boundaries of Quality Engineering as we seek to deliver applications that will directly and immediately impact the experience of our teams and our patients. This role will handle the creation of all test scripts, the documentation of all test cases, and identification of bugs across ETL development and reporting. The Test Engineer will manage the identification of bugs and assist in the prioritization of bug fixes.

    Responsibilities:

    • Contribute to all aspects of SDLC process (SCRUM, Design, Code, Test, Deploy & Maintain)
    • Review and analyze business and system requirements/specifications
    • Design test plans, scenarios, scripts, and procedures
    • Execute test cases (manual or automated) and log test results
    • Work with the development and product team to correct bugs/errors and identify requirement updates/clarifications
    • Support, design, develop, and enhance test processes and reporting for QA processes
    • Develop and maintain automation frameworks and solutions for ETL and data architecture
    • Automate tests to facilitate regression testing
    • Provide testing SME guidance to QA engineers
    • Other duties as assigned

    What we're looking for:

    • 8+ years in data engineering/ETL pipeline testing and Automation
    • 5+ years of experience writing and executing SQL queries/Python or PySpark
    • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
    • Sound knowledge of data flows, data architecture, data engineering/ETL, and processing data
    • Sound knowledge of QA methodology and Agile frameworks
    • Strong communication skills and a keen eye for details
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