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    ETL Testing - Chennai, India - Tekgence Inc

    Tekgence Inc
    Default job background
    Technology / Internet
    Description

    ETL Testing

    Exp 10+ years

    Location :- Chennai (wfo)

    Job Summary –

    A strong battle-tested QA Automation Engineer and has experience working with Test Automation frameworks (e.g., Selenium, Cucumber, Robot, Appium, Junit, PyTest, etc.)

    We are seeking a highly skilled Quality Engineer Automation Tester with a specialization in Data Testing to join our team. The ideal candidate will have strong expertise in data-intensive environments, particularly in batch-process/ETL oriented systems. Your primary focus will be on ensuring the quality and reliability of data pipelines, ETL processes, and data-intensive applications. You will collaborate closely with cross-functional teams to design, implement, and execute automated test scripts, ensuring the integrity and accuracy of our data-centric systems.(e. g. – ETL Talend, Hadoop, PySpark, Pl/ Sql etc.)

    Years of experience needed –

    • years of experience working as a Test Engineer or similar role
    • years of experience working with Test Automation frameworks (e.g., Selenium, Cucumber, Robot, Appium, Junit, PyTest, etc.)
    • Testing experience (e. g. – ETL Talend, Hadoop, PySpark, Pl/ Sql etc.)

    Technical Skills:

    • years of experience working as a Test Engineer or similar role
    • years of experience working with Test Automation frameworks (e.g., Selenium, Cucumber, Robot, Appium, Junit, PyTest, etc.)
    • experience building/extending Test Automation frameworks
    • to have experience with databases/SQL to extract, load, manipulate and analyze complex data to identify patterns/trends and draw conclusions
    • to have experience with web service technologies (e.g., XML, REST, SOAP)
    • to have 2+ years of experience with Java, Python or JavaScript development (intermediate - advanced level)
    • with BDD or TDD
    • Testing: Develop and execute automated test scripts using appropriate tools and frameworks (e.g., PySpark, Scala+Spark) to validate data processing pipelines, ETL workflows, and batch-oriented systems.
    • Validation: Implement comprehensive testing strategies to validate data accuracy, completeness, and integrity across various stages of data processing, including extraction, transformation, and loading.
    • Maintain detailed documentation of test plans, test cases, and test results. Communicate findings, defects, and testing progress effectively to stakeholders.
    • Work closely with cross-functional teams including developers, data engineers, business analysts, and stakeholders to ensure alignment on testing objectives and priorities.
    • degree in engineering, computer science, computer engineering, or equivalent work experience

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